Wu, W.C.[Wei-Cheng],
The Generalized Difference Vegetation Index (GDVI) for Dryland
Characterization,
RS(6), No. 2, 2014, pp. 1211-1233.
DOI Link
1403
BibRef
Lu, L.L.[Lin-Lin],
Kuenzer, C.[Claudia],
Wang, C.Z.[Cui-Zhen],
Guo, H.D.[Hua-Dong],
Li, Q.T.[Qing-Ting],
Evaluation of Three MODIS-Derived Vegetation Index Time Series for
Dryland Vegetation Dynamics Monitoring,
RS(7), No. 6, 2015, pp. 7597.
DOI Link
1507
BibRef
Zhou, Y.[Yu],
Zhang, L.[Li],
Fensholt, R.[Rasmus],
Wang, K.[Kun],
Vitkovskaya, I.[Irina],
Tian, F.[Feng],
Climate Contributions to Vegetation Variations in Central Asian
Drylands: Pre- and Post-USSR Collapse,
RS(7), No. 3, 2015, pp. 2449-2470.
DOI Link
1504
BibRef
Ratzmann, G.[Gregor],
Gangkofner, U.[Ute],
Tietjen, B.[Britta],
Fensholt, R.[Rasmus],
Dryland Vegetation Functional Response to Altered Rainfall Amounts
and Variability Derived from Satellite Time Series Data,
RS(8), No. 12, 2016, pp. 1026.
DOI Link
1612
BibRef
Sun, D.F.[Dan-Feng],
Jiang, W.B.[Wan-Bei],
Agricultural Soil Alkalinity and Salinity Modeling in the Cropping
Season in a Spectral Endmember Space of TM in Temperate Drylands,
Minqin, China,
RS(8), No. 9, 2016, pp. 714.
DOI Link
1610
BibRef
Gillan, J.K.[Jeffrey K.],
Karl, J.W.[Jason W.],
Elaksher, A.[Ahmed],
Duniway, M.C.[Michael C.],
Fine-Resolution Repeat Topographic Surveying of Dryland Landscapes
Using UAS-Based Structure-from-Motion Photogrammetry: Assessing
Accuracy and Precision against Traditional Ground-Based Erosion
Measurements,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link
1706
BibRef
Olsoy, P.J.[Peter J.],
Mitchell, J.[Jessica],
Glenn, N.F.[Nancy F.],
Flores, A.N.[Alejandro N.],
Assessing a Multi-Platform Data Fusion Technique in Capturing
Spatiotemporal Dynamics of Heterogeneous Dryland Ecosystems in
Topographically Complex Terrain,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Dashti, H.[Hamid],
Poley, A.[Andrew],
Glenn, N.F.[Nancy F.],
Ilangakoon, N.[Nayani],
Spaete, L.[Lucas],
Roberts, D.[Dar],
Enterkine, J.[Josh],
Flores, A.N.[Alejandro N.],
Ustin, S.L.[Susan L.],
Mitchell, J.J.[Jessica J.],
Regional Scale Dryland Vegetation Classification with an Integrated
Lidar-Hyperspectral Approach,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Guirado, E.[Emilio],
Blanco-Sacristán, J.[Javier],
Rigol-Sánchez, J.P.[Juan Pedro],
Alcaraz-Segura, D.[Domingo],
Cabello, J.[Javier],
A Multi-Temporal Object-Based Image Analysis to Detect Long-Lived
Shrub Cover Changes in Drylands,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link
1911
BibRef
Wang, H.B.[Hai-Bo],
Li, X.[Xin],
Ma, M.G.[Ming-Guo],
Geng, L.Y.[Li-Ying],
Improving Estimation of Gross Primary Production in Dryland
Ecosystems by a Model-Data Fusion Approach,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Naser, M.A.[Mohammed A.],
Khosla, R.[Raj],
Longchamps, L.[Louis],
Dahal, S.[Subash],
Using NDVI to Differentiate Wheat Genotypes Productivity Under
Dryland and Irrigated Conditions,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Pastick, N.J.[Neal J.],
Dahal, D.[Devendra],
Wylie, B.K.[Bruce K.],
Parajuli, S.[Sujan],
Boyte, S.P.[Stephen P.],
Wu, Z.[Zhouting],
Characterizing Land Surface Phenology and Exotic Annual Grasses in
Dryland Ecosystems Using Landsat and Sentinel-2 Data in Harmony,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Guirado, E.[Emilio],
Alcaraz-Segura, D.[Domingo],
Cabello, J.[Javier],
Puertas-Ruíz, S.[Sergio],
Herrera, F.[Francisco],
Tabik, S.[Siham],
Tree Cover Estimation in Global Drylands from Space Using Deep
Learning,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Zhang, F.[Fang],
Wang, C.H.[Cheng-Hao],
Wang, Z.H.[Zhi-Hua],
Response of Natural Vegetation to Climate in Dryland Ecosystems: A
Comparative Study between Xinjiang and Arizona,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link
2011
BibRef
Ma, Y.J.[Yu-Jun],
Shi, F.Z.[Fang-Zhong],
Hu, X.[Xia],
Li, X.Y.[Xiao-Yan],
Climatic Constraints to Monthly Vegetation Dynamics in Desert Areas
Over the Silk Road Economic Belt,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Wang, S.M.[Si-Meng],
Liu, Q.H.[Qi-Hang],
Huang, C.[Chang],
Vegetation Change and Its Response to Climate Extremes in the Arid
Region of Northwest China,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Li, H.Q.[Huo-Qing],
Liu, Z.H.[Zong-Hui],
Mamtimin, A.[Ali],
Liu, J.J.[Jun-Jian],
Liu, Y.Q.[Yong-Qiang],
Ju, C.X.[Chen-Xiang],
Zhang, H.L.[Hai-Liang],
Gao, Z.B.[Zhi-Bo],
A New Linear Relation for Estimating Surface Broadband Emissivity in
Arid Regions Based on FTIR and MODIS Products,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Zhou, H.Y.[Huo-Yan],
Fu, L.Y.[Li-Yong],
Sharma, R.P.[Ram P.],
Lei, Y.C.[Yuan-Cai],
Guo, J.P.[Jin-Ping],
A Hybrid Approach of Combining Random Forest with Texture Analysis
and VDVI for Desert Vegetation Mapping Based on UAV RGB Data,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Lang, M.[Marie],
Mahyou, H.[Hamid],
Tychon, B.[Bernard],
Estimation of Rangeland Production in the Arid Oriental Region
(Morocco) Combining Remote Sensing Vegetation and Rainfall Indices:
Challenges and Lessons Learned,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Wang, L.X.[Le-Xuan],
Weng, L.G.[Li-Guo],
Xia, M.[Min],
Liu, J.[Jia],
Lin, H.F.[Hai-Feng],
Multi-Resolution Supervision Network with an Adaptive Weighted Loss
for Desert Segmentation,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Cai, T.Y.[Tian-Yi],
Zhang, X.H.[Xin-Huan],
Xia, F.Q.[Fu-Qiang],
Zhang, Z.P.[Zhi-Ping],
Yin, J.J.[Jing-Jing],
Wu, S.Q.[Sheng-Qin],
The Process-Mode-Driving Force of Cropland Expansion in Arid Regions
of China Based on the Land Use Remote Sensing Monitoring Data,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Rieser, J.[Jakob],
Veste, M.[Maik],
Thiel, M.[Michael],
Schönbrodt-Stitt, S.[Sarah],
Coverage and Rainfall Response of Biological Soil Crusts Using
Multi-Temporal Sentinel-2 Data in a Central European Temperate Dry
Acid Grassland,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Perez-Aguilar, L.Y.[Lidia Yadira],
Plata-Rocha, W.[Wenseslao],
Monjardin-Armenta, S.A.[Sergio Alberto],
Franco-Ochoa, C.[Cuauhtémoc],
Zambrano-Medina, Y.G.[Yedid Guadalupe],
The Identification and Classification of Arid Zones through
Multicriteria Evaluation and Geographic Information Systems:
Case Study: Arid Regions of Northwest Mexico,
IJGI(10), No. 11, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Wang, S.Y.[Si-Yi],
He, Y.L.[Yong-Li],
Hu, S.[Shujuan],
Ji, F.[Fei],
Wang, B.[Bin],
Guan, X.D.[Xiao-Dan],
Piccolroaz, S.[Sebastiano],
Enhanced Warming in Global Dryland Lakes and Its Drivers,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Ochungo, P.[Pamela],
Khalaf, N.[Nadia],
Merlo, S.[Stefania],
Beldados, A.[Alemseged],
M'Mbogori, F.N.[Freda Nkirote],
Tiki, W.[Waktole],
Lane, P.J.[Paul J.],
Remote Sensing for Biocultural Heritage Preservation in an African
Semi-Arid Region: A Case Study of Indigenous Wells in Northern Kenya
and Southern Ethiopia,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Ganem, K.A.[Khalil Ali],
Xue, Y.K.[Yong-Kang],
Rodrigues, A.[Ariane_de_Almeida],
Franca-Rocha, W.[Washington],
de Oliveira, M.T.[Marceli Terra],
de Carvalho, N.S.[Nathália Silva],
Cayo, E.Y.T.[Efrain Yury Turpo],
Rosa, M.R.[Marcos Reis],
Dutra, A.C.[Andeise Cerqueira],
Shimabukuro, Y.E.[Yosio Edemir],
Mapping South America's Drylands through Remote Sensing:
A Review of the Methodological Trends and Current Challenges,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Xie, Q.Y.[Qiao-Yun],
Cleverly, J.[Jamie],
Moore, C.E.[Caitlin E.],
Ding, Y.L.[Yan-Ling],
Hall, C.C.[Christopher C.],
Ma, X.L.[Xuan-Long],
Brown, L.A.[Luke A.],
Wang, C.[Cong],
Beringer, J.[Jason],
Prober, S.M.[Suzanne M.],
Macfarlane, C.[Craig],
Meyer, W.S.[Wayne S.],
Yin, G.F.[Gao-Fei],
Huete, A.[Alfredo],
Land surface phenology retrievals for arid and semi-arid ecosystems,
PandRS(185), 2022, pp. 129-145.
Elsevier DOI
2202
Land surface phenology, Arid and semi-arid ecosystems, EVI,
MODIS, Gross primary productivity, TERN OzFlux
BibRef
Zeng, Z.W.[Zhi-Wei],
Zhu, H.T.[Hong-Tao],
Modern Dryland Source-to-Sink System Segments and Coupling
Relationships from Digital Elevation Model Analysis:
A Case Study from the Mongolian Altai,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Zhu, Z.J.[Zi-Juan],
Zhang, Z.X.[Zeng-Xiang],
Zuo, L.J.[Li-Jun],
Pan, T.S.[Tian-Shi],
Zhao, X.L.[Xiao-Li],
Wang, X.[Xiao],
Sun, F.F.[Fei-Fei],
Xu, J.Y.[Jin-Yong],
Liu, Z.Y.[Zi-Yuan],
Study on the Classification and Change Detection Methods of Drylands
in Arid and Semi-Arid Regions,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Li, Y.[Yi],
Wu, J.J.[Jun-Jun],
Zhong, B.[Bo],
Shi, X.L.[Xiao-Liang],
Xu, K.[Kunpeng],
Ao, K.[Kai],
Sun, B.[Bin],
Ding, X.Y.[Xiang-Yuan],
Wang, X.[Xinshuang],
Liu, Q.H.[Qin-Huo],
Yang, A.[Aixia],
Chen, F.[Fei],
Shi, M.Q.[Meng-Qi],
Methods of Sandy Land Detection in a Sparse-Vegetation Scene Based on
the Fusion of HJ-2A Hyperspectral and GF-3 SAR Data,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Schwarz, M.[Maximilian],
Landmann, T.[Tobias],
Jusselme, D.[Damien],
Zambrano, E.[Eduardo],
Danzeglocke, J.[Jens],
Siegert, F.[Florian],
Franke, J.[Jonas],
Assessing the Environmental Suitability for Transhumance in Support
of Conflict Prevention in the Sahel,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Levi, N.[Nathan],
Karnieli, A.[Arnon],
Paz-Kagan, T.[Tarin],
Airborne imaging spectroscopy for assessing land-use effect on soil
quality in drylands,
PandRS(186), 2022, pp. 34-54.
Elsevier DOI
2203
Soil quality index, Arid environment,
Support vector machine-regression, Runoff harvesting system, Grazing
BibRef
Hou, Y.F.[Yi-Feng],
Chen, Y.N.[Ya-Ning],
Ding, J.L.[Jian-Li],
Li, Z.[Zhi],
Li, Y.P.[Yu-Peng],
Sun, F.[Fan],
Ecological Impacts of Land Use Change in the Arid Tarim River Basin
of China,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Harmse, C.J.[Christiaan J.],
Gerber, H.[Hannes],
van Niekerk, A.[Adriaan],
Evaluating Several Vegetation Indices Derived from Sentinel-2 Imagery
for Quantifying Localized Overgrazing in a Semi-Arid Region of South
Africa,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Shokr, M.S.[Mohamed S.],
Mazrou, Y.S.A.[Yasser S. A.],
Abdellatif, M.A.[Mostafa A.],
Baroudy, A.A.E.[Ahmed A. El],
Mahmoud, E.K.[Esawy K.],
Saleh, A.M.[Ahmed M.],
Belal, A.A.[Abdelaziz A.],
Ding, Z.[Zheli],
Integration of Geostatistical and Sentinal-2AMultispectral Satellite
Image Analysis for Predicting Soil Fertility Condition in Drylands,
IJGI(11), No. 6, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Hou, Y.F.[Yi-Feng],
Chen, Y.N.[Ya-Ning],
Li, Z.[Zhi],
Li, Y.P.[Yu-Peng],
Sun, F.[Fan],
Zhang, S.[Shuai],
Wang, C.[Chuan],
Feng, M.Q.[Mei-Qing],
Land Use Dynamic Changes in an Arid Inland River Basin Based on
Multi-Scenario Simulation,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Kulaixi, Z.[Zulipiya],
Chen, Y.N.[Ya-Ning],
Li, Y.P.[Yu-Peng],
Wang, C.[Chuan],
Dynamic Evolution and Scenario Simulation of Ecosystem Services under
the Impact of Land-Use Change in an Arid Inland River Basin in
Xinjiang, China,
RS(15), No. 9, 2023, pp. xx-yy.
DOI Link
2305
BibRef
Li, S.K.[Sheng-Kun],
Li, X.B.[Xia-Bing],
Gong, J.[Jirui],
Dang, D.L.[Dong-Liang],
Dou, H.[Huashun],
Lyu, X.[Xin],
Quantitative Analysis of Natural and Anthropogenic Factors
Influencing Vegetation NDVI Changes in Temperate Drylands from a
Spatial Stratified Heterogeneity Perspective: A Case Study of Inner
Mongolia Grasslands, China,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Leng, S.[Song],
Huete, A.[Alfredo],
Cleverly, J.[Jamie],
Yu, Q.[Qiang],
Zhang, R.R.[Rong-Rong],
Wang, Q.F.[Qian-Feng],
Spatiotemporal Variations of Dryland Vegetation Phenology Revealed by
Satellite-Observed Fluorescence and Greenness across the North
Australian Tropical Transect,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Yu, Z.X.[Zong-Xu],
Wang, T.Y.[Tian-Ye],
Wang, P.[Ping],
Yu, J.J.[Jing-Jie],
The Spatiotemporal Response of Vegetation Changes to Precipitation
and Soil Moisture in Drylands in the North Temperate Mid-Latitudes,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Li, M.Y.[Meng-Yao],
Zhong, S.Y.[Shou-Yi],
Luo, Y.M.[You-Ming],
Liu, Q.[Qiang],
Li, X.H.[Xiu-Hong],
A Study of the Change in Surface Parameters during the Last Four
Decades in the MuUs Desert Based on Remote Sensing Data,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link
2208
Changes due to management. Increasing vegetation.
BibRef
Chen, B.[Ben],
Chen, H.[Hui],
Li, M.[Meng],
Fiedler, S.[Sebastian],
Margarint, M.C.[Mihai Ciprian],
Nowak, A.[Arkadiusz],
Wesche, K.[Karsten],
Tietjen, B.[Britta],
Wu, J.S.[Jian-Shuang],
Climate Sensitivity of the Arid Scrublands on the Tibetan Plateau
Mediated by Plant Nutrient Traits and Soil Nutrient Availability,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Liu, C.X.[Chuan-Xiu],
Chen, Y.N.[Ya-Ning],
Fang, G.H.[Gong-Huan],
Zhou, H.H.[Hong-Hua],
Huang, W.J.[Wen-Jing],
Liu, Y.C.[Yong-Chang],
Wang, X.X.[Xuan-Xuan],
Li, Z.[Zhi],
Hydrological Connectivity Improves the Water-Related Environment in a
Typical Arid Inland River Basin in Xinjiang, China,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link
2210
BibRef
Chen, Z.Z.[Zhan-Zhuo],
Huang, M.[Min],
Xiao, C.J.[Chang-Jiang],
Qi, S.H.[Shu-Hua],
Du, W.Y.[Wen-Ying],
Zhu, D.[Daoye],
Altan, O.[Orhan],
Integrating Remote Sensing and Spatiotemporal Analysis to
Characterize Artificial Vegetation Restoration Suitability in Desert
Areas: A Case Study of Mu Us Sandy Land,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link
2210
BibRef
Milewski, R.[Robert],
Schmid, T.[Thomas],
Chabrillat, S.[Sabine],
Jiménez, M.[Marcos],
Escribano, P.[Paula],
Pelayo, M.[Marta],
Ben-Dor, E.[Eyal],
Analyses of the Impact of Soil Conditions and Soil Degradation on
Vegetation Vitality and Crop Productivity Based on Airborne
Hyperspectral VNIR-SWIR-TIR Data in a Semi-Arid Rainfed Agricultural
Area (Camarena, Central Spain),
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Ren, M.[Min],
Chen, W.J.[Wen-Jiang],
Wang, H.B.[Hai-Bo],
Ecological Policies Dominated the Ecological Restoration over the
Core Regions of Kubuqi Desert in Recent Decades,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Miao, Y.H.[Yu-Hao],
Zhang, R.[Renping],
Guo, J.[Jing],
Yi, S.H.[Shu-Hua],
Meng, B.P.[Bao-Ping],
Liu, J.Q.[Jia-Qing],
Vegetation Coverage in the Desert Area of the Junggar Basin of
Xinjiang, China, Based on Unmanned Aerial Vehicle Technology and
Multisource Data,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Almalki, R.[Raid],
Khaki, M.[Mehdi],
Saco, P.M.[Patricia M.],
Rodriguez, J.F.[Jose F.],
Monitoring and Mapping Vegetation Cover Changes in Arid and Semi-Arid
Areas Using Remote Sensing Technology: A Review,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Yang, Y.J.[Yu-Jie],
Huang, W.[Wei],
Xie, T.T.[Ting-Ting],
Li, C.X.[Chen-Xi],
Deng, Y.J.[Ya-Jie],
Chen, J.[Jie],
Liu, Y.[Yan],
Ma, S.[Shuai],
Elevation Gradients Limit the Antiphase Trend in Vegetation and Its
Climate Response in Arid Central Asia,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
van der Werff, H.[Harald],
Ettema, J.[Janneke],
Sampatirao, A.[Akhil],
Hewson, R.[Robert],
How Weather Affects over Time the Repeatability of Spectral Indices
Used for Geological Remote Sensing,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link
2212
Impacts on mineral, geology in semi-arid area.
BibRef
He, J.[Jie],
Lyu, D.[Du],
He, L.[Liang],
Zhang, Y.J.[Yu-Jie],
Xu, X.M.[Xiao-Ming],
Yi, H.[Haijie],
Tian, Q.L.[Qi-Long],
Liu, B.Y.[Bao-Yuan],
Zhang, X.P.[Xiao-Ping],
Combining Object-Oriented and Deep Learning Methods to Estimate
Photosynthetic and Non-Photosynthetic Vegetation Cover in the Desert
from Unmanned Aerial Vehicle Images with Consideration of Shadows,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Zhang, S.[Shuai],
Wang, Y.[Yin],
Wang, Y.[Yang],
Li, Z.[Zhi],
Hou, Y.F.[Yi-Feng],
Spatiotemporal Evolution and Influencing Mechanisms of Ecosystem
Service Value in the Tarim River Basin, Northwest China,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link
2302
BibRef
Zhang, Y.[Yan],
Tang, J.J.[Jia-Jia],
Wu, Q.[Qinyu],
Huang, S.[Shuai],
Yao, X.[Xijun],
Dong, J.[Jing],
Assessment of the Capability of Landsat and BiodivMapR to Track the
Change of Alpha Diversity in Dryland Disturbed by Mining,
RS(15), No. 6, 2023, pp. 1554.
DOI Link
2304
BibRef
Khan, M.Y.A.[Mohd Yawar Ali],
ElKashouty, M.[Mohamed],
Zaidi, F.K.[Faisal K.],
Egbueri, J.C.[Johnbosco C.],
Mapping Aquifer Recharge Potential Zones (ARPZ) Using Integrated
Geospatial and Analytic Hierarchy Process (AHP) in an Arid Region of
Saudi Arabia,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link
2306
BibRef
Li, X.[Xin],
Yang, L.Q.[Li-Qin],
Accelerated Restoration of Vegetation in Wuwei in the Arid Region of
Northwestern China since 2000 Driven by the Interaction between
Climate and Human Beings,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link
2306
BibRef
Wang, Y.S.[Yi-Shan],
Zhang, F.[Fei],
Li, X.Y.[Xing-You],
Johnson, V.C.[Verner Carl],
Tan, M.L.[Mou Leong],
Kung, H.T.[Hsiang-Te],
Shi, J.C.[Jing-Chao],
Bahtebay, J.[Jupar],
He, X.[Xin],
Methodology for Mapping the Ecological Security Pattern and
Ecological Network in the Arid Region of Xinjiang, China,
RS(15), No. 11, 2023, pp. 2836.
DOI Link
2306
BibRef
Desjardins, É.[Émilie],
Lai, S.[Sandra],
Houle, L.[Laurent],
Caron, A.[Alain],
Thériault, V.[Véronique],
Tam, A.[Andrew],
Vézina, F.[François],
Berteaux, D.[Dominique],
Algorithms and Predictors for Land Cover Classification of Polar
Deserts: A Case Study Highlighting Challenges and Recommendations for
Future Applications,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link
2307
BibRef
Xu, L.[Lili],
Chen, T.Y.[Tian-Yu],
Li, B.L.[Bao-Lin],
Yuan, Y.C.[Ye-Cheng],
Tsendbazar, N.E.[Nandin-Erdene],
Spatiotemporal Evolution of Arid Ecosystems Using Thematic Land Cover
Products,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link
2307
BibRef
Xie, D.B.[Dong-Bo],
Huang, H.C.[Hong-Chao],
Feng, L.Y.[Lin-Yan],
Sharma, R.P.[Ram P.],
Chen, Q.[Qiao],
Liu, Q.W.[Qing-Wang],
Fu, L.[Liyong],
Aboveground Biomass Prediction of Arid Shrub-Dominated Community
Based on Airborne LiDAR through Parametric and Nonparametric Methods,
RS(15), No. 13, 2023, pp. 3344.
DOI Link
2307
BibRef
Chang, X.Y.[Xin-Yue],
Zhang, B.[Bing],
Zhu, H.B.[Hong-Bo],
Song, W.D.[Wei-Dong],
Ren, D.F.[Dong-Feng],
Dai, J.G.[Ji-Guang],
A Spatial and Temporal Evolution Analysis of Desert Land Changes in
Inner Mongolia by Combining a Structural Equation Model and Deep
Learning,
RS(15), No. 14, 2023, pp. 3617.
DOI Link
2307
BibRef
Liu, J.M.[Jia-Min],
Pei, X.T.[Xiu-Tong],
Zhu, W.Y.[Wan-Yang],
Jiao, J.Z.[Ji-Zong],
Simulation of the Ecological Service Value and Ecological
Compensation in Arid Area: A Case Study of Ecologically Vulnerable
Oasis,
RS(15), No. 16, 2023, pp. 3927.
DOI Link
2309
BibRef
Guo, X.[Xuan],
Guo, Q.[Qun],
Hu, Z.M.[Zhong-Min],
Li, S.G.[Sheng-Gong],
Min, Q.W.[Qing-Wen],
Mu, S.[Songlin],
Xu, C.D.[Cheng-Dong],
Sun, L.[Linli],
The Effects of Precipitation Event Characteristics and Afforestation
on the Greening in Arid Grasslands, China,
RS(15), No. 18, 2023, pp. 4621.
DOI Link
2310
BibRef
Fakhri, S.A.[Seyed Arvin],
Latifi, H.[Hooman],
Samani, K.M.[Kyumars Mohammadi],
Shakeri, Z.[Zahed],
Naghavi, H.[Hamed],
Fassnacht, F.E.[Fabian Ewald],
Combination of UAV Photogrammetry and Field Inventories Enables
Description of Height-Diameter Relationship within Semi-Arid
Silvopastoral Systems,
RS(15), No. 21, 2023, pp. 5261.
DOI Link
2311
BibRef
Selmy, S.A.H.[Salman A. H.],
Kucher, D.E.[Dmitry E.],
Mozgeris, G.[Gintautas],
Moursy, A.R.A.[Ali R. A.],
Jimenez-Ballesta, R.[Raimundo],
Kucher, O.D.[Olga D.],
Fadl, M.E.[Mohamed E.],
Mustafa, A.R.A.[Abdel-Rahman A.],
Detecting, Analyzing, and Predicting Land Use/Land Cover (LULC)
Changes in Arid Regions Using Landsat Images, CA-Markov Hybrid Model,
and GIS Techniques,
RS(15), No. 23, 2023, pp. 5522.
DOI Link
2312
BibRef
Xie, B.[Bo],
Guo, H.[Hui],
Meng, F.[Fanhao],
Sa, C.[Chula],
Luo, M.[Min],
Historical Evolution and Future Trends of Precipitation Based on
Integrated Datasets and Model Simulations of Arid Central Asia,
RS(15), No. 23, 2023, pp. 5460.
DOI Link
2312
BibRef
Song, Z.Q.[Zhen-Qi],
Lu, Y.F.[Yue-Feng],
Ding, Z.Q.[Zi-Qi],
Sun, D.K.[Deng-Kuo],
Jia, Y.Y.X.[Yuan-Yan-Xin],
Sun, W.W.[Wei-Wei],
A New Remote Sensing Desert Vegetation Detection Index,
RS(15), No. 24, 2023, pp. 5742.
DOI Link
2401
BibRef
Li, J.T.[Jiang-Tao],
Guan, Y.H.[Yuan-Hong],
Lu, Q.F.[Qi-Feng],
Bao, Y.S.[Yan-Song],
Wu, C.Q.[Chun-Qiang],
Xu, C.F.[Chao-Fan],
Retrieval of Desert Microwave Land Surface Emissivity Based on
Machine Learning Algorithms,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link
2401
BibRef
Qiu, Z.Y.[Zi-Yun],
Guan, Y.[Yunlan],
Zhou, K.[Kefa],
Kou, Y.F.[Yan-Fei],
Zhou, X.Z.[Xiao-Zhen],
Zhang, Q.[Qing],
Spatiotemporal Analysis of the Interactions between Ecosystem
Services in Arid Areas and Their Responses to Urbanization and
Various Driving Factors,
RS(16), No. 3, 2024, pp. 520.
DOI Link
2402
BibRef
Zhang, Q.L.[Qing-Lan],
Yan, M.[Min],
Zhang, L.[Li],
Shao, W.[Wei],
Chen, Y.Y.[Yi-Yang],
Dong, Y.Q.[Yu-Qi],
Three Decades of Oasis Transition and Its Driving Factors in
Turpan-Hami Basin in Xinjiang, China: A Complex Network Approach,
RS(16), No. 3, 2024, pp. 465.
DOI Link
2402
BibRef
Aghababaei, M.[Masoumeh],
Ebrahimi, A.[Ataollah],
Naghipour, A.A.[Ali Asghar],
Asadi, E.[Esmaeil],
Verrelst, J.[Jochem],
Monitoring of Plant Ecological Units Cover Dynamics in a Semiarid
Landscape from Past to Future Using Multi-Layer Perceptron and Markov
Chain Model,
RS(16), No. 9, 2024, pp. 1612.
DOI Link
2405
BibRef
Wang, Y.[Yu],
Han, T.[Tian],
Yang, Y.Z.[Yu-Ze],
Hai, Y.[Yue],
Wen, Z.[Zhi],
Li, R.N.[Ruo-Nan],
Zheng, H.[Hua],
Revealing the Hidden Consequences of Increased Soil Moisture Storage
in Greening Drylands,
RS(16), No. 10, 2024, pp. 1819.
DOI Link
2405
BibRef
Song, K.Y.[Ke-Yu],
Cheng, W.M.[Wei-Ming],
Wang, B.X.[Bai-Xue],
Xu, H.[Hua],
Wang, R.[Ruibo],
Zhang, Y.T.[Yu-Tong],
Study on the Expansion Potential of Artificial Oases in Xinjiang by
Coupling Geomorphic Features and Hierarchical Clustering,
RS(16), No. 10, 2024, pp. 1701.
DOI Link
2405
BibRef
Bulawka, N.[Nazarij],
Orengo, H.A.[Hector A.],
Application of Multi-Temporal and Multisource Satellite Imagery in
the Study of Irrigated Landscapes in Arid Climates,
RS(16), No. 11, 2024, pp. 1997.
DOI Link
2406
BibRef
Fang, Y.T.[Yu-Tong],
Zhao, X.[Xiang],
Liu, N.[Naijing],
Zhang, W.J.[Wen-Jie],
Shi, W.X.[Wen-Xi],
Analyzing Spatiotemporal Variations and Driving Factors of Grassland
in the Arid Region of Northwest China Surrounding the Tianshan
Mountains,
RS(16), No. 11, 2024, pp. 1952.
DOI Link
2406
BibRef
Miao, L.J.[Li-Juan],
Zhang, Y.Y.[Yu-Yang],
Agathokleous, E.[Evgenios],
Bao, G.[Gang],
Zhu, Z.Y.[Zi-Yu],
Liu, Q.[Qiang],
Modeling with Hysteresis Better Captures Grassland Growth in Asian
Drylands,
RS(16), No. 11, 2024, pp. 1838.
DOI Link
2406
BibRef
Lu, T.W.[Tian-Wei],
Han, Y.[Yong],
Zhou, Q.[Qicheng],
Dong, L.[Li],
Zhang, Y.R.[Yu-Rong],
Deng, X.[Ximing],
Xu, D.[Danya],
Vegetation Influences on Cloud Cover in Typical Plain and Plateau
Regions of Eurasia: 2001-2021,
RS(16), No. 12, 2024, pp. 2048.
DOI Link
2406
BibRef
Chroni, A.[Athanasia],
Vasilakos, C.[Christos],
Christaki, M.[Marianna],
Soulakellis, N.[Nikolaos],
Fusing Multispectral and LiDAR Data for CNN-Based Semantic
Segmentation in Semi-Arid Mediterranean Environments: Land Cover
Classification and Analysis,
RS(16), No. 15, 2024, pp. 2729.
DOI Link
2408
BibRef
Wu, W.T.[Wen-Tong],
Chen, R.S.[Ren-Sheng],
Finding Oasis Cold Island Footprints Based on a Logistic Model:
A Case Study in the Ejina Oasis,
RS(16), No. 16, 2024, pp. 2895.
DOI Link
2408
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Maize or Corn Crop Analysis, Production, Detection, Health, Change .