22.2.7.8.3 Dryland Analysis and Change, Arid Regions

Chapter Contents (Back)
Classification. Dryland. Arid Regions.
See also Pasture, Grassland, Rangeland Analysis and Change.
See also Drought Monitoring, Drought Analysis, Desertification.
See also Gross Primary Production, Net Primary Production, GPP, NPP.

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
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del Barrio, G.[Gabriel], Sanjuan, M.E.[Maria E.], Hirche, A.[Azziz], Yassin, M.[Mohamed], Ruiz, A.[Alberto], Ouessar, M.[Mohamed], Valderrama, J.M.[Jaime Martinez], Essifi, B.[Bouajila], Puigdefabregas, J.[Juan],
Land Degradation States and Trends in the Northwestern Maghreb Drylands, 1998-2008,
RS(8), No. 7, 2016, pp. 603.
DOI Link 1608
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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
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Zewdie, W.[Worku], Csaplovics, E.[Elmar],
Identifying Categorical Land Use Transition and Land Degradation in Northwestern Drylands of Ethiopia,
RS(8), No. 5, 2016, pp. 408.
DOI Link 1606
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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
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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
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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
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Burrell, A.L.[Arden L.], Evans, J.P.[Jason P.], Liu, Y.[Yi],
The impact of dataset selection on land degradation assessment,
PandRS(146), 2018, pp. 22-37.
Elsevier DOI 1812
RESTREND, BFAST, Dryland degradation, NDVI, Trend analysis, AVHRR, GIMMS, TSS-RESTREND 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
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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
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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
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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
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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
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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
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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
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Amer, R.[Reda],
Spatial Relationship between Irrigation Water Salinity, Waterlogging, and Cropland Degradation in the Arid and Semi-Arid Environments,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
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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
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Reith, J.[Jonathan], Ghazaryan, G.[Gohar], Muthoni, F.[Francis], Dubovyk, O.[Olena],
Assessment of Land Degradation in Semiarid Tanzania: Using Multiscale Remote Sensing Datasets to Support Sustainable Development Goal 15.3,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
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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
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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
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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
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Wang, L.X.[Le-Xuan], Weng, L.[Liguo], 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
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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
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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
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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
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Wang, S.[Siyi], 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
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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
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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
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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
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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
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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
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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
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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.[Jianli], 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
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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
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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
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Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Maize or Corn Crop Analysis, Production, Detection, Health, Change .


Last update:Jun 27, 2022 at 12:58:02