Zambrano, F.[Francisco],
Lillo-Saavedra, M.[Mario],
Verbist, K.[Koen],
Lagos, O.[Octavio],
Sixteen Years of Agricultural Drought Assessment of the BioBío Region
in Chile Using a 250 m Resolution Vegetation Condition Index (VCI),
RS(8), No. 6, 2016, pp. 530.
DOI Link
1608
BibRef
Sánchez, N.[Nilda],
González-Zamora, Á.[Ángel],
Piles, M.[María],
Martínez-Fernández, J.[José],
A New Soil Moisture Agricultural Drought Index (SMADI) Integrating
MODIS and SMOS Products: A Case of Study over the Iberian Peninsula,
RS(8), No. 4, 2016, pp. 287.
DOI Link
1604
BibRef
Pablos, M.[Miriam],
Martínez-Fernández, J.[José],
Sánchez, N.[Nilda],
González-Zamora, Á.[Ángel],
Temporal and Spatial Comparison of Agricultural Drought Indices from
Moderate Resolution Satellite Soil Moisture Data over Northwest Spain,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link
1712
BibRef
Zhang, X.[Xiang],
Wei, C.[Chehan],
Obringer, R.[Renee],
Li, D.R.[De-Ren],
Chen, N.C.[Neng-Cheng],
Niyogi, D.[Dev],
Gauging the Severity of the 2012 Midwestern U.S. Drought for
Agriculture,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Bai, J.Y.[Jue-Ying],
Cui, Q.[Qian],
Chen, D.Q.[De-Qing],
Yu, H.W.[Hai-Wei],
Mao, X.D.[Xu-Dong],
Meng, L.K.[Ling-Kui],
Cai, Y.[Yang],
Assessment of the SMAP-Derived Soil Water Deficit Index (SWDI-SMAP)
as an Agricultural Drought Index in China,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Zhu, Q.[Qian],
Luo, Y.L.[Yu-Lin],
Xu, Y.P.[Yue-Ping],
Tian, Y.[Ye],
Yang, T.T.[Tian-Tian],
Satellite Soil Moisture for Agricultural Drought Monitoring:
Assessment of SMAP-Derived Soil Water Deficit Index in Xiang River
Basin, China,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Bayissa, Y.[Yared],
Tadesse, T.[Tsegaye],
Demisse, G.[Getachew],
Building A High-Resolution Vegetation Outlook Model to Monitor
Agricultural Drought for the Upper Blue Nile Basin, Ethiopia,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Qu, C.[Carolyn],
Hao, X.J.[Xian-Jun],
Qu, J.J.[John J.],
Monitoring Extreme Agricultural Drought over the Horn of Africa (HOA)
Using Remote Sensing Measurements,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Cao, Y.J.[Yi-Jing],
Chen, S.B.[Sheng-Bo],
Wang, L.[Lei],
Zhu, B.X.[Bing-Xue],
Lu, T.Q.[Tian-Qi],
Yu, Y.[Yan],
An Agricultural Drought Index for Assessing Droughts Using a Water
Balance Method: A Case Study in Jilin Province, Northeast China,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Ryu, J.H.[Jae-Hyun],
Han, K.S.[Kyung-Soo],
Lee, Y.W.[Yang-Won],
Park, N.W.[No-Wook],
Hong, S.[Sungwook],
Chung, C.Y.[Chu-Yong],
Cho, J.[Jaeil],
Different Agricultural Responses to Extreme Drought Events in
Neighboring Counties of South and North Korea,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Sawada, Y.,
Koike, T.,
Ikoma, E.,
Kitsuregawa, M.,
Monitoring and Predicting Agricultural Droughts for a Water-Limited
Subcontinental Region by Integrating a Land Surface Model and
Microwave Remote Sensing,
GeoRS(58), No. 1, January 2020, pp. 14-33.
IEEE DOI
2001
Monitoring, Vegetation mapping, Soil moisture, Temperature sensors,
Agriculture, Temperature measurement, Production, Drought,
passive microwave remote sensing
BibRef
Yoon, D.H.[Dong-Hyun],
Nam, W.H.[Won-Ho],
Lee, H.J.[Hee-Jin],
Hong, E.M.[Eun-Mi],
Feng, S.[Song],
Wardlow, B.D.[Brian D.],
Tadesse, T.[Tsegaye],
Svoboda, M.D.[Mark D.],
Hayes, M.J.[Michael J.],
Kim, D.E.[Dae-Eui],
Agricultural Drought Assessment in East Asia Using Satellite-Based
Indices,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Sur, C.Y.[Chan-Yang],
Kang, D.H.[Do-Hyuk],
Lim, K.J.[Kyoung Jae],
Yang, J.E.[Jae E.],
Shin, Y.C.[Yong-Chul],
Jung, Y.H.[Young-Hun],
Soil Moisture-Vegetation-Carbon Flux Relationship under Agricultural
Drought Condition using Optical Multispectral Sensor,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Baig, M.H.A.[Muhammad Hasan Ali],
Abid, M.[Muhammad],
Khan, M.R.[Muhammad Roman],
Jiao, W.Z.[Wen-Zhe],
Amin, M.[Muhammad],
Adnan, S.[Shahzada],
Assessing Meteorological and Agricultural Drought in Chitral Kabul
River Basin Using Multiple Drought Indices,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link
2005
BibRef
He, Y.H.[Yuan-Huizi],
Chen, F.[Fang],
Jia, H.C.[Hui-Cong],
Wang, L.[Lei],
Bondur, V.G.[Valery G.],
Different Drought Legacies of Rain-Fed and Irrigated Croplands in a
Typical Russian Agricultural Region,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Kulkarni, S.S.[Sneha S.],
Wardlow, B.D.[Brian D.],
Bayissa, Y.A.[Yared A.],
Tadesse, T.[Tsegaye],
Svoboda, M.D.[Mark D.],
Gedam, S.S.[Shirishkumar S.],
Developing a Remote Sensing-Based Combined Drought Indicator Approach
for Agricultural Drought Monitoring over Marathwada, India,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Szewczak, K.[Kamil],
Los, H.[Helena],
Pudelko, R.[Rafal],
Doroszewski, A.[Andrzej],
Gluba, L.[Lukasz],
Lukowski, M.[Mateusz],
Rafalska-Przysucha, A.[Anna],
Slominski, J.[Jan],
Usowicz, B.[Boguslaw],
Agricultural Drought Monitoring by MODIS Potential Evapotranspiration
Remote Sensing Data Application,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Yao, N.[Ning],
Zhao, H.C.[Hui-Chao],
Li, Y.[Yi],
Biswas, A.[Asim],
Feng, H.[Hao],
Liu, F.G.[Feng-Gui],
Pulatov, B.[Bakhtiyor],
National-Scale Variation and Propagation Characteristics of
Meteorological, Agricultural, and Hydrological Droughts in China,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Faridatul, M.I.[Mst Ilme],
Ahmed, B.[Bayes],
Assessing Agricultural Vulnerability to Drought in a Heterogeneous
Environment: A Remote Sensing-Based Approach,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Angearu, C.V.[Claudiu-Valeriu],
Ontel, I.[Irina],
Boldeanu, G.[George],
Mihailescu, D.[Denis],
Nertan, A.[Argentina],
Craciunescu, V.[Vasile],
Catana, S.[Simona],
Irimescu, A.[Anisoara],
Multi-Temporal Analysis and Trends of the Drought Based on MODIS Data
in Agricultural Areas, Romania,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Zhang, Z.,
Xu, W.,
Qin, Q.,
Long, Z.,
Downscaling Solar-Induced Chlorophyll Fluorescence Based on
Convolutional Neural Network Method to Monitor Agricultural Drought,
GeoRS(59), No. 2, February 2021, pp. 1012-1028.
IEEE DOI
2101
Spatial resolution, Monitoring, MODIS, Indexes, Satellites,
Temperature sensors, Correlation, Agricultural drought,
solar-induced chlorophyll fluorescence (SIF)
BibRef
Rojas, O.[Oscar],
Next Generation Agricultural Stress Index System (ASIS) for
Agricultural Drought Monitoring,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Afshar, M.H.[Mehdi H.],
Al-Yaari, A.[Amen],
Yilmaz, M.T.[M. Tugrul],
Comparative Evaluation of Microwave L-Band VOD and Optical NDVI for
Agriculture Drought Detection over Central Europe,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Lee, S.J.[Soo-Jin],
Kim, N.[Nari],
Lee, Y.[Yangwon],
Development of Integrated Crop Drought Index by Combining Rainfall,
Land Surface Temperature, Evapotranspiration, Soil Moisture, and
Vegetation Index for Agricultural Drought Monitoring,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Prodhan, F.A.[Foyez Ahmed],
Zhang, J.H.[Jia-Hua],
Yao, F.M.[Feng-Mei],
Shi, L.[Lamei],
Sharma, T.P.P.[Til Prasad Pangali],
Zhang, D.[Da],
Cao, D.[Dan],
Zheng, M.X.[Min-Xuan],
Ahmed, N.[Naveed],
Mohana, H.P.[Hasiba Pervin],
Deep Learning for Monitoring Agricultural Drought in South Asia Using
Remote Sensing Data,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
van Hateren, T.C.[Theresa C.],
Chini, M.[Marco],
Matgen, P.[Patrick],
Teuling, A.J.[Adriaan J.],
Ambiguous Agricultural Drought: Characterising Soil Moisture and
Vegetation Droughts in Europe from Earth Observation,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Shahzaman, M.[Muhammad],
Zhu, W.J.[Wei-Jun],
Bilal, M.[Muhammad],
Habtemicheal, B.A.[Birhanu Asmerom],
Mustafa, F.[Farhan],
Arshad, M.[Muhammad],
Ullah, I.[Irfan],
Ishfaq, S.[Shazia],
Iqbal, R.[Rashid],
Remote Sensing Indices for Spatial Monitoring of Agricultural Drought
in South Asian Countries,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Shahzaman, M.[Muhammad],
Zhu, W.J.[Wei-Jun],
Ullah, I.[Irfan],
Mustafa, F.[Farhan],
Bilal, M.[Muhammad],
Ishfaq, S.[Shazia],
Nisar, S.[Shazia],
Arshad, M.[Muhammad],
Iqbal, R.[Rashid],
Aslam, R.W.[Rana Waqar],
Comparison of Multi-Year Reanalysis, Models, and Satellite Remote
Sensing Products for Agricultural Drought Monitoring over South Asian
Countries,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Kloos, S.[Simon],
Yuan, Y.[Ye],
Castelli, M.[Mariapina],
Menzel, A.[Annette],
Agricultural Drought Detection with MODIS Based Vegetation Health
Indices in Southeast Germany,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Qin, Q.M.[Qi-Ming],
Wu, Z.H.[Zi-Hua],
Zhang, T.Y.[Tian-Yuan],
Sagan, V.[Vasit],
Zhang, Z.X.[Zhao-Xu],
Zhang, Y.[Yao],
Zhang, C.Y.[Cheng-Ye],
Ren, H.Z.[Hua-Zhong],
Sun, Y.[Yuanheng],
Xu, W.[Wei],
Zhao, C.[Cong],
Optical and Thermal Remote Sensing for Monitoring Agricultural
Drought,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Shorachi, M.[Maurice],
Kumar, V.[Vineet],
Steele-Dunne, S.C.[Susan C.],
Sentinel-1 SAR Backscatter Response to Agricultural Drought in The
Netherlands,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Zhou, H.[Hongkui],
Geng, G.P.[Guang-Po],
Yang, J.H.[Jian-Hua],
Hu, H.[Hao],
Sheng, L.[Li],
Lou, W.D.[Wei-Dong],
Improving Soil Moisture Estimation via Assimilation of Remote Sensing
Product into the DSSAT Crop Model and Its Effect on Agricultural
Drought Monitoring,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Bageshree, K.,
Abhishek,
Kinouchi, T.[Tsuyoshi],
A Multivariate Drought Index for Seasonal Agriculture Drought
Classification in Semiarid Regions,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Wang, Z.Y.[Zi-Yu],
Wang, Z.[Zegen],
Xiong, J.[Junnan],
He, W.[Wen],
Yong, Z.W.[Zhi-Wei],
Wang, X.[Xin],
Responses of the Remote Sensing Drought Index with Soil Information
to Meteorological and Agricultural Droughts in Southeastern Tibet,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Zhang, Y.L.[Yu-Liang],
Wu, Z.Y.[Zhi-Yong],
Singh, V.P.[Vijay P.],
Jin, J.[Juliang],
Zhou, Y.L.[Yu-Liang],
Xu, S.Q.[Shi-Qin],
Li, L.[Lei],
Agricultural Drought Assessment in a Typical Plain Region Based on
Coupled Hydrology-Crop Growth Model and Remote Sensing Data,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Li, K.W.[Kai-Wei],
Wang, C.Y.[Chun-Yi],
Rong, G.Z.[Guang-Zhi],
Wei, S.C.[Si-Cheng],
Liu, C.[Cong],
Yang, Y.T.[Yue-Ting],
Sudu, B.[Bilige],
Guo, Y.[Ying],
Sun, Q.[Qing],
Zhang, J.[Jiquan],
Dynamic Evaluation of Agricultural Drought Hazard in Northeast China
Based on Coupled Multi-Source Data,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Dai, R.[Rui],
Chen, S.[Shengbo],
Cao, Y.J.[Yi-Jing],
Zhang, Y.F.[Yu-Feng],
Xu, X.T.[Xi-Tong],
A Modified Temperature Vegetation Dryness Index (mTVDI) for
Agricultural Drought Assessment Based on MODIS Data: A Case Study in
Northeast China,
RS(15), No. 7, 2023, pp. 1915.
DOI Link
2304
BibRef
Ming, W.T.[Wen-Ting],
Luo, X.[Xian],
Luo, X.[Xuan],
Long, Y.[Yunshu],
Xiao, X.[Xin],
Ji, X.[Xuan],
Li, Y.[Yungang],
Quantitative Assessment of Cropland Exposure to Agricultural Drought
in the Greater Mekong Subregion,
RS(15), No. 11, 2023, pp. 2737.
DOI Link
2306
BibRef
Khlif, M.[Manel],
Escorihuela, M.J.[Maria José],
Bellakanji, A.C.[Aicha Chahbi],
Paolini, G.[Giovanni],
Chabaane, Z.L.[Zohra Lili],
Remotely Sensed Agriculture Drought Indices for Assessing the Impact
on Cereal Yield,
RS(15), No. 17, 2023, pp. 4298.
DOI Link
2310
BibRef
Hao, R.N.[Ruo-Nan],
Yan, H.X.[Hua-Xiang],
Chiang, Y.M.[Yen-Ming],
Forecasting the Propagation from Meteorological to Hydrological and
Agricultural Drought in the Huaihe River Basin with Machine Learning
Methods,
RS(15), No. 23, 2023, pp. 5524.
DOI Link
2312
BibRef
Feng, G.[Ganlin],
Chen, Y.[Yaoliang],
Mansaray, L.R.[Lamin R.],
Xu, H.[Hongfeng],
Shi, A.[Aoni],
Chen, Y.L.[Yan-Ling],
Propagation of Meteorological Drought to Agricultural and
Hydrological Droughts in the Tropical Lancang-Mekong River Basin,
RS(15), No. 24, 2023, pp. 5678.
DOI Link
2401
BibRef
Nigatu, Z.M.[Zemede M.],
You, W.[Wei],
Melesse, A.M.[Assefa M.],
Drought Dynamics in the Nile River Basin: Meteorological,
Agricultural, and Groundwater Drought Propagation,
RS(16), No. 5, 2024, pp. 919.
DOI Link
2403
BibRef
Khuimphukhieo, I.[Ittipon],
Bhandari, M.[Mahendra],
Enciso, J.[Juan],
da Silva, J.A.[Jorge A.],
Assessing Drought Stress of Sugarcane Cultivars Using Unmanned
Vehicle System (UAS)-Based Vegetation Indices and Physiological
Parameters,
RS(16), No. 8, 2024, pp. 1433.
DOI Link
2405
BibRef
Niyonsenga, S.[Schadrack],
Eziz, A.[Anwar],
Kurban, A.[Alishir],
Yuan, X.[Xiuliang],
Umwali, E.D.[Edovia Dufatanye],
Azadi, H.[Hossein],
Hakorimana, E.[Egide],
Umugwaneza, A.[Adeline],
Fidelis, G.D.[Gift Donu],
Nsanzabaganwa, J.[Justin],
Nzabarinda, V.[Vincent],
Spatiotemporal Analysis of Drought Characteristics and Their Impact
on Vegetation and Crop Production in Rwanda,
RS(16), No. 8, 2024, pp. 1455.
DOI Link
2405
BibRef
Li, P.[Peng],
Jia, L.[Li],
Lu, J.[Jing],
Jiang, M.[Min],
Zheng, C.[Chaolei],
Menenti, M.[Massimo],
Investigating the Response of Vegetation to Flash Droughts by Using
Cross-Spectral Analysis and an Evapotranspiration-Based Drought Index,
RS(16), No. 9, 2024, pp. 1564.
DOI Link
2405
BibRef
Hobart, M.[Marius],
Schirrmann, M.[Michael],
Abubakari, A.H.[Abdul-Halim],
Badu-Marfo, G.[Godwin],
Kraatz, S.[Simone],
Zare, M.[Mohammad],
Drought Monitoring and Prediction in Agriculture: Employing Earth
Observation Data, Climate Scenarios and Data Driven Methods; a Case
Study: Mango Orchard in Tamale, Ghana,
RS(16), No. 11, 2024, pp. 1942.
DOI Link
2406
BibRef
Wu, X.T.[Xiao-Tao],
Xu, H.[Huating],
He, H.[Hai],
Wu, Z.Y.[Zhi-Yong],
Lu, G.H.[Gui-Hua],
Liao, T.T.[Ting-Ting],
Agricultural Drought Monitoring Using an Enhanced Soil Water Deficit
Index Derived from Remote Sensing and Model Data Merging,
RS(16), No. 12, 2024, pp. 2156.
DOI Link
2406
BibRef
Nadabi, M.S.A.[Mohammed S. Al],
d'Antonio, P.[Paola],
Fiorentino, C.[Costanza],
Scopa, A.[Antonio],
Shams, E.M.[Eltaher M.],
Fadl, M.E.[Mohamed E.],
Utilizing the Google Earth Engine for Agricultural Drought Conditions
and Hazard Assessment Using Drought Indices in the Najd Region,
Sultanate of Oman,
RS(16), No. 16, 2024, pp. 2960.
DOI Link
2408
BibRef
Serbouti, I.[Imane],
Chenal, J.[Jérôme],
Pradhan, B.[Biswajeet],
Diop, E.[El_Bachir],
Azmi, R.[Rida],
Abdem, S.A.E.[Seyid Abdellahi Ebnou],
Adraoui, M.[Meriem],
Hlal, M.[Mohammed],
Bounabi, M.[Mariem],
Assessing the Impact of Agricultural Practices and Urban Expansion on
Drought Dynamics Using a Multi-Drought Index Application Implemented
in Google Earth Engine: A Case Study of the Oum Er-Rbia Watershed,
Morocco,
RS(16), No. 18, 2024, pp. 3398.
DOI Link
2410
BibRef
Ning, J.[Jing],
Yao, Y.J.[Yun-Jun],
Fisher, J.B.[Joshua B.],
Li, Y.[Yufu],
Zhang, X.T.[Xiao-Tong],
Jiang, B.[Bo],
Xu, J.[Jia],
Yu, R.Y.[Rui-Yang],
Liu, L.[Lu],
Zhang, X.[Xueyi],
Xie, Z.J.[Zi-Jing],
Fan, J.[Jiahui],
Zhang, L.[Luna],
Soil Moisture-Derived SWDI at 30 m Based on Multiple Satellite
Datasets for Agricultural Drought Monitoring,
RS(16), No. 18, 2024, pp. 3372.
DOI Link
2410
BibRef
Luo, M.[Min],
Meng, F.[Fanhao],
Sa, C.[Chula],
Bao, Y.[Yuhai],
Liu, T.[Tie],
de Maeyer, P.[Philippe],
Detecting Drought-Related Temporal Effects on Global Net Primary
Productivity,
RS(16), No. 20, 2024, pp. 3787.
DOI Link
2411
BibRef
Zhao, P.P.[Pan-Pan],
Chai, Q.H.[Qi-Hui],
Xie, B.[Bingbo],
Li, H.Y.[Hong-Yang],
Yang, H.[Huicai],
Wan, F.[Fang],
Huang, X.D.[Xu-Dong],
The Impact of Drought on Vegetation at Basin Scale: A Case Study of
the Wei River Basin, China,
RS(16), No. 21, 2024, pp. 3997.
DOI Link
2411
BibRef
Sun, B.,
Qian, J.,
Chen, X.,
Zhou, Q.,
Comparison and Evaluation of Remote Sensing Indices for Agricultural
Drought Monitoring Over Kazakhstan,
ISPRS20(B3:899-903).
DOI Link
2012
BibRef
Nikam, B.R.,
Aggarwal, S.P.,
Thakur, P.K.,
Garg, V.,
Roy, S.,
Chouksey, A.,
Dhote, P.R.,
Chauhan, P.,
Assessment of Early Season Agricultural Drought Using Remote Sensing,
ISPRS20(B3:1691-1695).
DOI Link
2012
BibRef
Vaani, N.,
Porchelvan, P.,
Monitoring of Agricultural Drought Using Fortnightly Variation Of
Vegetation Condition Index (VCI) for the State of Tamil Nadu, India,
GeoDisast18(159-164).
DOI Link
1901
BibRef
Sorman, A.Ü.,
Mehr, A.D.,
Hadi, S.J.,
Study on spatial-temporal variations of Meteorological-agricultural
droughts in Turkey,
Gi4DM18(483-490).
DOI Link
1805
BibRef
Sánchez, N.,
Martínez-Fernández, J.,
González-Zamora, A.,
A Combined Approach With Smos And Modis To Monitor Agricultural Drought,
ISPRS16(B8: 393-398).
DOI Link
1610
BibRef
Perez, G.J.,
Macapagal, M.,
Olivares, R.,
Macapagal, E.M.,
Comiso, J.C.,
Forecasting And Monitoring Agricultural Drought In The Philippines,
ISPRS16(B8: 1263-1269).
DOI Link
1610
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Desertification .