540 citations as recorded by crossref.

1. Open Habitats under Threat in Mountainous, Mediterranean Landscapes: Land Abandonment Consequences in the Vegetation Cover of the Thessalian Part of Mt Agrafa (Central Greece) K. Chontos & I. Tsiripidis 10.3390/land12040846
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5. Microevolutionary Perspectives for Conserving Plant Diversity in South Brazilian Grasslands (Campos Sulinos) A. Segatto et al. 10.1016/j.pecon.2024.04.003
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11. Geographic Variation in Migratory Grasshopper Recruitment under Projected Climate Change J. Humphreys et al. 10.3390/geographies2010003
12. Evaluation of Different Modelling Techniques with Fusion of Satellite, Soil and Agro-Meteorological Data for the Assessment of Durum Wheat Yield under a Large Scale Application E. Lekakis et al. 10.3390/agriculture12101635
13. Connecting dryland fine-fuel assessments to wildfire exposure and natural resource values at risk A. Wells et al. 10.1186/s42408-023-00196-1
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19. A new method for the timber tracing toolbox: applying multi-element analysis to determine wood origin L. Boeschoten et al. 10.1088/1748-9326/acc81b
20. A meta‐analysis highlights globally widespread potassium limitation in terrestrial ecosystems B. Chen et al. 10.1111/nph.19294
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22. Analysis of the Impact of Environmental and Agronomic Variables on Agronomic Parameters in Soybean Cultivation Based on Long-Term Data E. Wójcik-Gront et al. 10.3390/plants11212922
23. Recalibration of existing pedotransfer functions to estimate soil bulk density at a regional scale H. Khodaverdiloo et al. 10.1111/ejss.13244
24. Identifying Major Hydrologic Change Drivers in a Highly Managed Transboundary Endorheic Basin: Integrating Hydro‐Ecological Models and Time Series Data Mining Techniques J. Acero Triana & H. Ajami 10.1029/2022WR032281
25. Pre‐adaptation and adaptation shape trait‐environment matching in the Neotropics F. Velásquez‐Puentes et al. 10.1111/geb.13730
26. Evolutionary and ecological forces shape nutrient strategies of mycorrhizal woody plants L. Guo et al. 10.1111/ele.14330
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28. Trends in the occurrence and accumulation of microplastics in urban soil of Nanjing and their policy implications Y. Zhou et al. 10.1016/j.scitotenv.2023.166144
29. Mapping Brazilian soil mineralogy using proximal and remote sensing data N. Rosin et al. 10.1016/j.geoderma.2023.116413
30. ‘Fly to a Safer North’: Distributional Shifts of the Orchid Ophrys insectifera L. Due to Climate Change M. Charitonidou et al. 10.3390/biology11040497
31. Resource availability and disturbance frequency shape evolution of plant life forms in Neotropical habitats L. Prochazka et al. 10.1111/nph.19601
32. High-Resolution Ammonia Emissions from Nitrogen Fertilizer Application in China during 2005–2020 Y. Chen et al. 10.3390/atmos13081297
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34. Global patterns in endemicity and vulnerability of soil fungi L. Tedersoo et al. 10.1111/gcb.16398
35. A weakly supervised framework for high-resolution crop yield forecasts D. Paudel et al. 10.1088/1748-9326/acf50e
36. Satellite Remote Sensing of Savannas: Current Status and Emerging Opportunities A. Abdi et al. 10.34133/2022/9835284
37. Geospatial prediction of total soil carbon in European agricultural land based on deep learning D. Radočaj et al. 10.1016/j.scitotenv.2023.169647
38. Construction of a daily streamflow dataset for Peru using a similarity-based regionalization approach and a hybrid hydrological modeling framework H. Llauca et al. 10.1016/j.ejrh.2023.101381
39. Pedology of archaeological stone-wall bench terraces D. Itkin et al. 10.1016/j.geoderma.2022.116129
40. Forest aboveground biomass estimation by GEDI and multi-source EO data fusion over Indian forest J. Mohite et al. 10.1080/01431161.2024.2307944
41. Revealing the hidden carbon in forested wetland soils A. Stewart et al. 10.1038/s41467-024-44888-x
42. Elevational Patterns of Forest Evapotranspiration and Its Sensitivity to Climatic Variation in Dryland Mountains H. Li et al. 10.3390/w16091252
43. Mapping and monitoring peatland conditions from global to field scale B. Minasny et al. 10.1007/s10533-023-01084-1
44. Tier 4 maps of soil pH at 25 m resolution for the Netherlands A. Helfenstein et al. 10.1016/j.geoderma.2021.115659
45. Habitat differentiation and environmental adaptability contribute to leaf size variations globally in C3 and C4 grasses W. Gao et al. 10.1016/j.scitotenv.2024.173309
46. Evaluating plant lineage losses and gains in temperate forest understories: a phylogenetic perspective on climate change and nitrogen deposition J. Padullés Cubino et al. 10.1111/nph.19477
47. Releasing global forests from human management: How much more carbon could be stored? C. Roebroek et al. 10.1126/science.add5878
48. High‐resolution mapping of available water content in Senegal using iSDA Africa dataset and USDA Rosetta3 model J. Lavarenne & L. Leroux 10.1111/ejss.13461
49. On-site soil analysis: A novel approach combining NIR spectroscopy, remote sensing and deep learning M. Kok et al. 10.1016/j.geoderma.2024.116903
50. The effect of climate and land cover changes on the distribution of Actinodaphne areolata Blume, an endemic and endangered species in Java, Indonesia D. Usmadi et al. 10.1051/e3sconf/202337305004
51. On-Site Soil Monitoring Using Photonics-Based Sensors and Historical Soil Spectral Libraries K. Karyotis et al. 10.3390/rs15061624
52. CSDMS Data Components: data–model integration tools for Earth surface processes modeling T. Gan et al. 10.5194/gmd-17-2165-2024
53. Simulating the Impacts of Drought and Warming in Summer and Autumn on the Productivity of Subtropical Coniferous Forests M. Xie et al. 10.3390/f13122147
54. Improving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability S. Díaz-Guadarrama et al. 10.5194/essd-16-1229-2024
55. SOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014 M. Guglielmo et al. 10.1038/s41597-021-01032-4
56. Identification of Groundwater Potential Recharge and Recharge Zones of Tumakuru District Using GIS S. Gubbi Ratna et al. 10.1007/s40030-023-00762-5
57. The Role of Remote Sensing Data and Methods in a Modern Approach to Fertilization in Precision Agriculture D. Radočaj et al. 10.3390/rs14030778
58. Global patterns and driving factors of plant litter iron, manganese, zinc, and copper concentrations Y. Peng et al. 10.1016/j.scitotenv.2022.159686
59. Ecological and biological indicators of the accuracy of species distribution models: lessons from European bryophytes F. Collart et al. 10.1111/ecog.06721
60. Guiding seed movement: environmental heterogeneity drives genetic differentiation in Plathymenia reticulata, providing insights for restoration T. Conceição et al. 10.1093/aobpla/plae032
61. Predicting the Global Potential Suitable Distribution of Fall Armyworm and Its Host Plants Based on Machine Learning Models Y. Huang et al. 10.3390/rs16122060
62. Optimizing Sampling Strategies for Near-Surface Soil Carbon Inventory: One Size Doesn’t Fit All C. Bettigole et al. 10.3390/soilsystems7010027
63. Defining large‐scale arid island vegetation recovery targets through evaluating a reference ecosystem within an archipelago extent N. Velasco et al. 10.1111/rec.14171
64. Improving pedotransfer functions for predicting soil mineral associated organic carbon by ensemble machine learning Y. Xiao et al. 10.1016/j.geoderma.2022.116208
65. Potential Satellite Monitoring of Surface Organic Soil Properties in Arctic Tundra From SMAP Y. Yi et al. 10.1029/2021WR030957
66. Global Soil Moisture Estimation based on GPM IMERG Data using a Site Specific Adjusted Antecedent Precipitation Index T. Ramsauer & P. Marzahn 10.1080/01431161.2022.2162351
67. Abiotic factors impact on oak forest decline in Lorestan Province, Western Iran S. Mehri et al. 10.1038/s41598-024-54551-6
68. Functional and phylogenetic dimensions of tree biodiversity reveal unique geographic patterns A. Paz et al. 10.1111/geb.13877
69. Development of inter-grid-cell lateral unsaturated and saturated flow model in the E3SM Land Model (v2.0) H. Qiu et al. 10.5194/gmd-17-143-2024
70. Thermokarst lake susceptibility assessment using machine learning models in permafrost landscapes of the Arctic R. Wang et al. 10.1016/j.scitotenv.2023.165709
71. High potential for Brassica tournefortii spread in North American introduced range, despite highly conserved niche C. Rodriguez et al. 10.1007/s10530-023-03176-3
72. Spatial Interpolation of Gravimetric Soil Moisture Using EM38-mk Induction and Ensemble Machine Learning (Case Study from Dry Steppe Zone in Volgograd Region) A. Zeyliger et al. 10.3390/s22166153
73. Optimized modelling of countrywide soil organic carbon levels via an interpretable decision tree N. Kebonye et al. 10.1016/j.atech.2022.100106
74. Exploring the landscape scale influences of tree cover on crop yield in an agroforestry parkland using satellite data and spatial statistics M. Karlson et al. 10.1016/j.jaridenv.2023.105051
75. Retrieving the irrigation actually applied at district scale: Assimilating high-resolution Sentinel-1-derived soil moisture data into a FAO-56-based model P. Laluet et al. 10.1016/j.agwat.2024.108704
76. Soil pH drives the relationship between the vertical distribution of soil microbial biomass and soil organic carbon across terrestrial ecosystems: A global synthesis Y. Liang et al. 10.1016/j.catena.2024.107873
77. The integration of hierarchical levels of scale in tree species distribution models of silver fir (Abies alba Mill.) and European beech (Fagus sylvatica L.) in mountain forests A. Simon et al. 10.1016/j.ecolmodel.2023.110499
78. Multiple drivers of functional diversity in temperate forest understories: Climate, soil, and forest structure effects S. Chelli et al. 10.1016/j.scitotenv.2024.170258
79. Spatializing soil elemental concentration as measured by X-ray fluorescence analysis using remote sensing data N. Rosin et al. 10.1016/j.catena.2024.107988
80. Sedimentary organic carbon storage of thermokarst lakes and ponds across Tibetan permafrost region Z. Wei et al. 10.1016/j.scitotenv.2022.154761
81. Web-based spatial decision support system for precision agriculture: A tool for delineating dynamic management unit zones (MUZs) S. Lanucara et al. 10.1016/j.atech.2024.100444
82. Vegetation‐Promoted Soil Structure Inhibits Hydrologic Landslide Triggering and Alters Carbon Fluxes L. Fan et al. 10.1029/2022GL100389
83. Simulating water dynamics related to pedogenesis across space and time: Implications for four-dimensional digital soil mapping P. Owens et al. 10.1016/j.geoderma.2024.116911
84. Identification of groundwater potential zones in data-scarce mountainous region using explainable machine learning K. Dahal et al. 10.1016/j.jhydrol.2023.130417
85. Earthworms contribute significantly to global food production S. Fonte et al. 10.1038/s41467-023-41286-7
86. Modeling potential site productivity for Austrocedrus chilensis trees in northern Patagonia (Argentina) F. Oddi et al. 10.1016/j.foreco.2022.120525
87. Genomic insights into local adaptation and vulnerability of Quercus longinux to climate change P. Sun et al. 10.1186/s12870-024-04942-8
88. Threat patterns for endemic plants of Argentina reveal disparity of vulnerability and protection among spatially associated species groups D. Salariato et al. 10.1016/j.jnc.2023.126422
89. Dakota skipper distribution model for North Dakota, South Dakota, and Minnesota aids conservation planning under changing climate scenarios K. Barnes et al. 10.3389/fevo.2024.1304748
90. Application and Evaluation of a Simple Crop Modelling Framework: A Case Study for Spring Barley, Winter Wheat and Winter Oilseed Rape over Ireland D. Upreti et al. 10.3390/agronomy12112900
91. Ecological landscape explains aquifers microbial structure F. Barbosa et al. 10.1016/j.scitotenv.2022.160822
92. Soil Information on a Regional Scale: Two Machine Learning Based Approaches for Predicting Ksat H. Zeitfogel et al. 10.2139/ssrn.4143185
93. Spatial predictions of maize yields using QUEFTS – A comparison of methods M. Breure et al. 10.1016/j.geoderma.2022.116018
94. Evaluation of distributed process-based hydrologic model performance using only a priori information to define model inputs S. Bhanja et al. 10.1016/j.jhydrol.2023.129176
95. Benefits of hierarchical predictions for digital soil mapping—An approach to map bimodal soil pH M. Nussbaum et al. 10.1016/j.geoderma.2023.116579
96. Implications of zero-deforestation palm oil for tropical grassy and dry forest biodiversity S. Fleiss et al. 10.1038/s41559-022-01941-6
97. A Modeling Framework to Frame a Biological Invasion: Impatiens glandulifera in North America O. Kanmaz et al. 10.3390/plants12071433
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104. Prediction and Uncertainty Capabilities of Quantile Regression Forests in Estimating Spatial Distribution of Soil Organic Matter M. Nikou & P. Tziachris 10.3390/ijgi11020130
105. High-Resolution Quantitative Retrieval of Soil Moisture Based on Multisource Data Fusion with Random Forests: A Case Study in the Zoige Region of the Tibetan Plateau Y. Ma et al. 10.3390/rs15061531
106. A linear positive relationship between tree species diversity and forest productivity across forest-dominated natural reserves on a large spatial scale L. Yang et al. 10.1016/j.foreco.2023.121409
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114. SAGAscape: Simulating Resource Exploitation Strategies in Iron Age to Hellenistic Communities in Southwest Anatolia S. Boogers & D. Daems 10.5334/jcaa.90
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117. What explains the high island endemicity of Philippine Rafflesia? A species distribution modeling analysis of three threatened parasitic plant species and their hosts J. Obico et al. 10.1002/ajb2.16267
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119. Geospatial Machine Learning Prediction of Arsenic Distribution in the Groundwater of Murshidabad District, West Bengal, India: Analyzing Spatiotemporal Patterns to Understand Human Health Risk B. Nath et al. 10.1021/acsestwater.2c00263
120. Spatio-Temporal Variations in Soil pH and Aluminum Toxicity in Sub-Saharan African Croplands (1980–2050) Y. Uwiragiye et al. 10.3390/rs15051338
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125. Global mapping of volumetric water retention at 100, 330 and 15 000 cm suction using the WoSIS database M. Turek et al. 10.1016/j.iswcr.2022.08.001
126. Perennial intermediate wheatgrass accumulates more soil organic carbon than annual winter wheat – a model assessment F. Tang et al. 10.1007/s11104-023-06298-8
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153. Regional Soil Patterns as Indicators of Late Cenozoic Change in the Critical Zone: A Baseline Synthesis for the Landscapes of Peninsular India Y. Gunnell et al. 10.3389/esss.2024.10097
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366. Space-time dynamics of soil moisture and groundwater in an agriculture-dominated critical zone observatory (CZO) in the Ganga basin, India S. Dash & R. Sinha 10.1016/j.scitotenv.2022.158231
367. Windthrow characteristics and their regional association with rainfall, soil, and surface elevation in the Amazon R. Negron-Juarez et al. 10.1088/1748-9326/acaf10
368. Ein Simulationsmodell zur Erfassung von Abflussrisiken in der Landwirtschaft S. Wendland et al. 10.1007/s00287-023-01522-2
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371. Integrated crop and livestock systems increase both climate change adaptation and mitigation capacities M. Delandmeter et al. 10.1016/j.scitotenv.2023.169061
372. Spatially explicit modeling of the probability of land abandonment in the Spanish Pyrenees P. Gelabert et al. 10.1016/j.landurbplan.2022.104487
373. Improvement in Dust Storm Simulation by Considering Stone Coverage Effects for Stony Deserts in East Asia T. Sekiyama et al. 10.1029/2022JD037295
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376. Patterns of Grewia (Malvaceae) diversity across geographical scales in Africa and Madagascar N. Karimi & M. Hanes 10.1093/aob/mcae009
377. Mapping Soil Depth in Sri Lanka Using Statistical and Machine Learning Models E. Jahanshiri et al. 10.2139/ssrn.4016391
378. Grasshoppers exhibit asynchrony and spatial non-stationarity in response to the El Niño/Southern and Pacific Decadal Oscillations J. Humphreys et al. 10.1016/j.ecolmodel.2022.110043
379. Prediction of future potential distributions of Pinus yunnanensis varieties under climate change J. Feng et al. 10.3389/ffgc.2023.1308416
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381. Hydrological model skills change with drought severity; insights from multi-variable evaluation G. Bruno et al. 10.1016/j.jhydrol.2024.131023
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383. Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data M. Celik et al. 10.1109/LGRS.2023.3303643
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385. Shapley values reveal the drivers of soil organic carbon stock prediction A. Wadoux et al. 10.5194/soil-9-21-2023
386. Classification of alpine grasslands in the western Tian Shan Mountains (Kyrgyzstan, Middle Asia) G. Swacha et al. 10.5586/asbp/169036
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395. Land degradation vulnerability mapping in a west coast river basin of India using analytical hierarchy process combined machine learning models B. Das et al. 10.1007/s11356-023-28276-4
396. Matrix representation of lateral soil movements: scaling and calibrating CE-DYNAM (v2) at a continental level A. Fendrich et al. 10.5194/gmd-15-7835-2022
397. Event-based soil erosion and sediment yield modelling for calculating long-term reservoir sedimentation in the Alps K. Kaffas et al. 10.1080/02626667.2024.2311756
398. How Can Pedology and Soil Classification Contribute Towards Sustainable Development as a Data Source and Information Carrier? J. Bouma et al. 10.2139/ssrn.4045883
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401. Assessing the use of digital soil maps in hydrological modeling for soil-water budget simulations - implications for water management plans in southern Portugal A. Horta et al. 10.1016/j.geodrs.2023.e00741
402. Ecological niche modeling of the main forest-forming species in the Caucasus R. Pshegusov et al. 10.1016/j.fecs.2022.100019
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404. Historic and Contemporary Surface Disposal of Produced Water Likely Inputs Arsenic and Selenium to Surficial Aquifers R. Rossi et al. 10.1021/acs.est.3c01219
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408. Impacts of Sub‐Grid Topographic Representations on Surface Energy Balance and Boundary Conditions in the E3SM Land Model: A Case Study in Sierra Nevada D. Hao et al. 10.1029/2021MS002862
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415. Analysis of Climate Change Impacts on Agricultural Water Availability in Cimanuk Watershed, Indonesia N. Heryani et al. 10.3390/su142316236
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417. An Open Soil Health Assessment Framework Facilitating Sustainable Soil Management G. Ros et al. 10.1021/acs.est.2c04516
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420. Atmospheric CO2, soil carbon stock and control variables in managed and degraded pastures in central Brazil M. Odorizzi de Campos et al. 10.1016/j.rsase.2022.100848
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429. Nitrogen deposition suppresses soil respiration by reducing global belowground activity W. Xiao et al. 10.1016/j.scitotenv.2024.171246
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438. Ideas and perspectives: Alleviation of functional limitations by soil organisms is key to climate feedbacks from arctic soils G. Blume-Werry et al. 10.5194/bg-20-1979-2023
439. Identifying opportunities to improve digital soil mapping in India: A systematic review P. Dash et al. 10.1016/j.geodrs.2021.e00478
440. Spatial assessment of topsoil zinc concentrations in Europe E. Van Eynde et al. 10.1016/j.scitotenv.2023.164512
441. Exploring soil property spatial patterns in a small grazed catchment using machine learning J. Barrena-González et al. 10.1007/s12145-023-01125-1
442. Arctic rooting depth distribution influences modelled carbon emissions but cannot be inferred from aboveground vegetation type G. Blume‐Werry et al. 10.1111/nph.18998
443. Modelling and prediction of major soil chemical properties with Random Forest: Machine learning as tool to understand soil-environment relationships in Antarctica R. Siqueira et al. 10.1016/j.catena.2023.107677
444. Assessing Impact of Salinity and Climate Scenarios on Dry Season Field Crops in the Coastal Region of Bangladesh A. Carcedo et al. 10.2139/ssrn.3991463
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446. Historical and future variation of soil organic carbon in China Z. Zhang et al. 10.1016/j.geoderma.2023.116557
447. Environmental Response of Tree Species Distribution in Northeast China with the Joint Species Distribution Model J. Yong et al. 10.3390/f15061026
448. Mapping and modeling riverine sand and gravel mining at the sub-continental scale: A case study for India E. Dujardin et al. 10.1016/j.scitotenv.2023.169200
449. The phylogeographic journey of a plant species from lowland to highlands during the Pleistocene L. Soares & L. Freitas 10.1038/s41598-024-53414-4
450. Modelling the impacts of water harvesting and climate change on rainfed maize yields in Senegal A. Setti et al. 10.4081/jae.2023.1524
451. Assessment of the interactions between soil–biosphere–atmosphere (ISBA) land surface model soil hydrology, using four closed-form soil water relationships and several lysimeters A. Sobaga et al. 10.5194/hess-27-2437-2023
452. Climate change threatens the future viability of translocated populations J. Bellis et al. 10.1111/ddi.13795
453. Spatially Explicit Soil Acidification under Optimized Fertilizer Use in Sub-Saharan Africa Y. Uwiragiye et al. 10.3390/agronomy13030632
454. High-resolution agriculture soil property maps from digital soil mapping methods, Czech Republic D. Žížala et al. 10.1016/j.catena.2022.106024
455. Enhancing WOFOST crop model with unscented Kalman filter assimilation of leaf area index O. Belozerova 10.1080/19479832.2023.2287037
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457. Modeling the Agricultural Soil Landscape of Germany—A Data Science Approach Involving Spatially Allocated Functional Soil Process Units M. Ließ 10.3390/agriculture12111784
458. Soil Data Cube and Artificial Intelligence Techniques for Generating National-Scale Topsoil Thematic Maps: A Case Study in Lithuanian Croplands N. Samarinas et al. 10.3390/rs15225304
459. Maximum entropy application in predicting the vulnerability of land and forest fires in South Sumatra Province, Indonesia D. Usmadi 10.1088/1755-1315/1183/1/012105
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461. Major drivers of soil acidification over 30 years differ in paddy and upland soils in China D. Xu et al. 10.1016/j.scitotenv.2024.170189
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464. Prototype Biodiversity Digital Twin: grassland biodiversity dynamics F. Taubert et al. 10.3897/rio.10.e124168
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467. Management interventions of pearl millet systems for attaining cereal self-sufficiency in Senegal N. Vieira Junior et al. 10.3389/fsufs.2023.1281496
468. Assessment of the regeneration of landslides areas using unsupervised and supervised methods and explainable machine learning models P. Arrogante-Funes et al. 10.1007/s10346-023-02154-z
469. The effect of global warming on the Australian endemic orchid Cryptostylis leptochila and its pollinator M. Kolanowska et al. 10.1371/journal.pone.0280922
470. Bioclimatic and remote sensing factors are better key indicators than local topography and soil: Vegetation composition variability in forests of Pakistan's Spin Ghar Mountain range S. Rehman et al. 10.1016/j.ecolind.2024.112111
471. Human and natural impacts on the U.S. freshwater salinization and alkalinization: A machine learning approach B. E et al. 10.1016/j.scitotenv.2023.164138
472. Modeling potential natural vegetation: A new light on an old concept to guide nature conservation in fragmented and degraded landscapes A. Bourdouxhe et al. 10.1016/j.ecolmodel.2023.110382
473. High-resolution assessment of retrogressive thaw slump susceptibility in the Qinghai-Tibet Engineering Corridor G. Yin et al. 10.1016/j.rcar.2023.11.006
474. A novel finer soil strength mapping framework based on machine learning and remote sensing images R. Wang et al. 10.1016/j.cageo.2023.105479
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476. Dietary change in high-income nations alone can lead to substantial double climate dividend Z. Sun et al. 10.1038/s43016-021-00431-5
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480. Fine-resolution mapping of cropland topsoil pH of Southern China and its environmental application B. Hu et al. 10.1016/j.geoderma.2024.116798
481. Meteorological, impact and climate perspectives of the 29 June 2017 heavy precipitation event in the Berlin metropolitan area A. Caldas-Alvarez et al. 10.5194/nhess-22-3701-2022
482. Mapping Surface Organic Soil Properties in Arctic Tundra Using C-Band SAR Data Y. Yi et al. 10.1109/JSTARS.2023.3236117
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485. Species distribution modeling and machine learning in assessing the potential distribution of freshwater zooplankton in Northern Italy N. Bellin et al. 10.1016/j.ecoinf.2022.101682
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494. Importance of Terrain and Climate for Predicting Soil Organic Carbon Is Highly Variable across Local to Continental Scales T. Tan et al. 10.1021/acs.est.4c01172
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496. Remote Sensing Data for Digital Soil Mapping in French Research—A Review A. Richer-de-Forges et al. 10.3390/rs15123070
497. Geospatial model for allocating favorable plots for groundwater-dependent cultivation activities in Egypt A. Shalby et al. 10.1016/j.ejrs.2023.07.014
498. Organic carbon stocks, quality and prediction in permafrost-affected forest soils in North Canada M. Schiedung et al. 10.1016/j.catena.2022.106194
499. The implementation of dust mineralogy in COSMO5.05-MUSCAT S. Gómez Maqueo Anaya et al. 10.5194/gmd-17-1271-2024
500. Global variation in soil carbon sequestration potential through improved cropland management M. Lessmann et al. 10.1111/gcb.15954
501. Towards Incorporation of Blue Carbon in Falkland Islands Marine Spatial Planning: A Multi-Tiered Approach N. Bax et al. 10.3389/fmars.2022.872727
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503. Estimating soil organic carbon stock change at multiple scales using machine learning and multivariate geostatistics G. Szatmári et al. 10.1016/j.geoderma.2021.115356
504. Remote sensing of soil degradation: Progress and perspective J. Wang et al. 10.1016/j.iswcr.2023.03.002
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508. Spatial prediction of soil properties using random forest, k-nearest neighbors and cubist approaches in the foothills of the Ural Mountains, Russia A. Suleymanov et al. 10.1007/s40808-023-01723-4
509. A framework for the development of hemp (Cannabis sativa L.) as a crop for the future in tropical environments E. Wimalasiri et al. 10.1016/j.indcrop.2021.113999
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513. An integrated approach for the evaluation of quantitative soil maps through Taylor and solar diagrams A. Wadoux et al. 10.1016/j.geoderma.2021.115332
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515. Global polygons for terrain classification divided into uniform slopes and basins J. Iwahashi & D. Yamazaki 10.1186/s40645-022-00487-2
516. Sentinel-2 and Sentinel-1 Bare Soil Temporal Mosaics of 6-year Periods for Soil Organic Carbon Content Mapping in Central France D. Urbina-Salazar et al. 10.3390/rs15092410
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519. Vulnerability of cocoa-based agroforestry systems to climate change in West Africa A. Ariza-Salamanca et al. 10.1038/s41598-023-37180-3
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521. Changes in soil organic carbon stocks from 1980‐1990 and 2010‐2020 in the northwest arid zone of China Z. Zhang et al. 10.1002/ldr.4293
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526. Global Soil Salinity Estimation at 10 m Using Multi-Source Remote Sensing N. Wang et al. 10.34133/remotesensing.0130
527. Prediction of near‐term climate change impacts on UK wheat quality and the potential for adaptation through plant breeding N. Fradgley et al. 10.1111/gcb.16552
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529. An Independent Validation of SoilGrids Accuracy for Soil Texture Components in Croatia D. Radočaj et al. 10.3390/land12051034
530. Using Google Earth Engine Machine learning Algorithms, soil Variable effects on soil organic carbon in Karabük Province/Turkiye M. Coşkun et al. 10.1016/j.jssas.2024.05.007
531. Inferring Land Conditions in the Tumen River Basin by Trend Analysis Based on Satellite Imagery and Geoinformation H. Yu & L. Li 10.3390/su14095687
532. Spatial patterns and determinants of avocado frontier dynamics in Mexico D. Ramírez-Mejía et al. 10.1007/s10113-022-01883-6
533. Prediction of pulse suitability in rice fallow areas using fuzzy AHP-based machine learning methods in Eastern India S. Sahoo et al. 10.1007/s10333-024-00970-0
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