{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T16:15:09Z","timestamp":1740154509187,"version":"3.37.3"},"reference-count":74,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2021,6,11]],"date-time":"2021-06-11T00:00:00Z","timestamp":1623369600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The Second Tibetan Plateau Scientific Expedition and Research Program","award":["2019QZKK0608"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"The Tibetan Plateau (TP), known as \u201cThe Roof of World\u201d, has expansive alpine grasslands and is a hotspot for climate change studies. However, cropland expansion and increasing anthropogenic activities have been poorly documented, let alone the effects of agricultural activities on food security and environmental change in the TP. The existing cropland mapping products do not depict the spatiotemporal characteristics of the TP due to low accuracies and inconsistent cropland distribution, which is affected by complicated topography and impedes our understanding of cropland expansion and its associated environmental impacts. One of the biggest challenges of cropland mapping in the TP is the diverse crop phenology across a wide range of elevations. To decrease the classification errors due to elevational differences in crop phenology, we developed two pixel- and phenology-based algorithms to map croplands using Landsat imagery and the Google Earth Engine platform along the Brahmaputra River and its two tributaries (BRTT) in the Tibet Autonomous Region, also known as the granary of TP, in 2015\u20132019. Our first phenology-based cropland mapping algorithm (PCM1) used different thresholds of land surface water index (LSWI) by considering varied crop phenology along different elevations. The second algorithm (PCM2) further offsets the phenological discrepancy along elevational gradients by considering the length and peak of the growing season. We found that PCM2 had a higher accuracy with fewer images compared with PCM1. The number of images for PCM2 was 279 less than PCM1, and the Matthews correlation coefficient for PCM2 was 0.036 higher than PCM1. We also found that the cropland area in BRTT was estimated to be 1979 \u00b1 52 km2 in the late 2010s. Croplands were mainly distributed in the BRTT basins with elevations of 3800\u20134000 m asl. Our phenology-based methods were effective for mapping croplands in mountainous areas. The spatially explicit information on cropland area and distribution in the TP aid future research into the effects of cropland expansion on food security and environmental change in the TP.<\/jats:p>","DOI":"10.3390\/rs13122289","type":"journal-article","created":{"date-parts":[[2021,6,15]],"date-time":"2021-06-15T02:25:46Z","timestamp":1623723946000},"page":"2289","source":"Crossref","is-referenced-by-count":12,"title":["Mapping Croplands in the Granary of the Tibetan Plateau Using All Available Landsat Imagery, A Phenology-Based Approach, and Google Earth Engine"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9739-1882","authenticated-orcid":false,"given":"Yuanyuan","family":"Di","sequence":"first","affiliation":[{"name":"College of Land Science and Technology, China Agricultural University, Beijing 100193, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0386-5646","authenticated-orcid":false,"given":"Geli","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Land Science and Technology, China Agricultural University, Beijing 100193, China"}]},{"given":"Nanshan","family":"You","sequence":"additional","affiliation":[{"name":"Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3442-400X","authenticated-orcid":false,"given":"Tong","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Land Science and Technology, China Agricultural University, Beijing 100193, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8389-4713","authenticated-orcid":false,"given":"Qiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Land Science and Technology, China Agricultural University, Beijing 100193, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1704-1151","authenticated-orcid":false,"given":"Ruoqi","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Land Science and Technology, China Agricultural University, Beijing 100193, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5191-2155","authenticated-orcid":false,"given":"Russell B.","family":"Doughty","sequence":"additional","affiliation":[{"name":"Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USA"}]},{"given":"Yangjian","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"}]}],"member":"1968","published-online":{"date-parts":[[2021,6,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.fcr.2012.11.021","article-title":"Increasing cropping intensity in response to climate warming in Tibetan Plateau, China","volume":"142","author":"Zhang","year":"2013","journal-title":"Field Crop. Res."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Gong, J., Li, J., Yang, J., Li, S., and Tang, W. (2017). Land Use and Land Cover Change in the Qinghai Lake Region of the Tibetan Plateau and Its Impact on Ecosystem Services. Int. J. Environ. Res. Public Health, 14.","DOI":"10.3390\/ijerph14070818"},{"key":"ref_3","first-page":"623","article-title":"Spatial-temporal Dynamics of Cultivated Land in Recent 35 Years in the Lhasa River Basin of Tibet","volume":"29","author":"Bai","year":"2014","journal-title":"J. Nat. Resour."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1729","DOI":"10.1002\/1097-0088(20001130)20:14<1729::AID-JOC556>3.0.CO;2-Y","article-title":"Climatic warming in the Tibetan Plateau during recent decades","volume":"20","author":"Liu","year":"2000","journal-title":"Int. J. Climatol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.gloplacha.2005.07.006","article-title":"Climate impacts of anthropogenic land use changes on the Tibetan Plateau","volume":"54","author":"Cui","year":"2006","journal-title":"Glob. Planet. Chang."},{"key":"ref_6","first-page":"63","article-title":"Dynamic Changes and Developmental Trends of the Land Desertification in Tibetan Plateau over the Past 10 Years","volume":"19","author":"Li","year":"2004","journal-title":"Adv. Earth Sci."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.jenvman.2005.08.019","article-title":"Assessing the ecological security of the Tibetan plateau: Methodology and a case study for Lhaze County","volume":"80","author":"Zhao","year":"2006","journal-title":"J. Environ. Manag."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.catena.2019.01.001","article-title":"Effects of climate change and human activities on runoff in the Beichuan River Basin in the northeastern Tibetan Plateau, China","volume":"176","author":"Wang","year":"2019","journal-title":"Catena"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1016\/j.rse.2007.05.017","article-title":"Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil","volume":"112","author":"Galford","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2307","DOI":"10.1007\/s11430-016-5327-3","article-title":"A comparative analysis of five global cropland datasets in China","volume":"59","author":"Lu","year":"2016","journal-title":"Sci. China Earth Sci."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Dong, J., Liu, J., Metternicht, G., Shen, W., You, N., Zhao, G., and Xiao, X. (2019). Are There Sufficient Landsat Observations for Retrospective and Continuous Monitoring of Land Cover Changes in China?. Remote Sens., 11.","DOI":"10.3390\/rs11151808"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Zhang, M., Chen, F., Tian, B., Liang, D., and Yang, A. (2020). High-Frequency Glacial Lake Mapping Using Time Series of Sentinel-1A\/1B SAR Imagery: An Assessment for the Southeastern Tibetan Plateau. Int. J. Environ. Res. Public Health, 17.","DOI":"10.3390\/ijerph17031072"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Ma, Q., You, Q., Ma, Y., Cao, Y., Zhang, J., Niu, M., and Zhang, Y. (2021). Changes in cloud amount over the Tibetan Plateau and impacts of large-scale circulation. Atmospheric Res., 249.","DOI":"10.1016\/j.atmosres.2020.105332"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.catena.2007.04.003","article-title":"Land use change and its driving forces on the Tibetan Plateau during 1990\u20132000","volume":"72","author":"Wang","year":"2008","journal-title":"Catena"},{"key":"ref_15","first-page":"197","article-title":"Reconstruction of cropland distribution in Qinghai and Tibet for the past one hundred years and its spatiotemporal changes","volume":"34","author":"Li","year":"2015","journal-title":"Prog. Geogr."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1007\/s11442-017-1406-4","article-title":"Crop cover reconstruction and its effects on sediment retention in the Tibetan Plateau for 1900\u20132000","volume":"27","author":"Li","year":"2017","journal-title":"J. Geogr. Sci."},{"key":"ref_17","first-page":"207","article-title":"Methods for reconstructing historical cropland spatial distribution of the Yellow River-Huangshui River valley in Tibetan Plateau","volume":"34","author":"Luo","year":"2015","journal-title":"Prog. Geogr."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"11518","DOI":"10.3390\/rs61111518","article-title":"Land Cover Classification of Landsat Data with Phenological Features Extracted from Time Series MODIS NDVI Data","volume":"6","author":"Jia","year":"2014","journal-title":"Remote Sens."},{"key":"ref_19","unstructured":"Dan, L. (2017). Study on Spatio-Temporal Variations of Crop Planting Areas in the Valley of Brahmaputra and Lhasa River and Nian-Chu River, Tibet, China. [Master\u2019s Thesis, Southwest University]."},{"key":"ref_20","first-page":"2152","article-title":"Land Cover Mapping in the Tibet Plateau Using MODIS Imagery","volume":"32","author":"Chu","year":"2010","journal-title":"Resour. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"8541","DOI":"10.3390\/rs6098541","article-title":"How Reliable is the MODIS Land Cover Product for Crop Mapping Sub-Saharan Agricultural Landscapes?","volume":"6","author":"Leroux","year":"2014","journal-title":"Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.rse.2012.01.010","article-title":"Opening the archive: How free data has enabled the science and monitoring promise of Landsat","volume":"122","author":"Wulder","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.rse.2014.02.001","article-title":"Landsat-8: Science and product vision for terrestrial global change research","volume":"145","author":"Roy","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2013.08.023","article-title":"Efficient corn and soybean mapping with temporal extendability: A multi-year experiment using Landsat imagery","volume":"140","author":"Zhong","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.rse.2016.02.016","article-title":"Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine","volume":"185","author":"Dong","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.rse.2016.11.004","article-title":"Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery","volume":"188","author":"Gao","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.rse.2020.111951","article-title":"Mapping sugarcane plantation dynamics in Guangxi, China, by time series Sentinel-1, Sentinel-2 and Landsat images","volume":"247","author":"Wang","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.rse.2005.10.004","article-title":"Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images","volume":"100","author":"Xiao","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.rse.2018.10.031","article-title":"Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping","volume":"220","author":"Griffiths","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1016\/j.rse.2017.01.008","article-title":"National-scale soybean mapping and area estimation in the United States using medium resolution satellite imagery and field survey","volume":"190","author":"Song","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_31","first-page":"1080","article-title":"Spatial and temporal variations of multiple cropping index in China based on SPOT-NDVI during 1999-2013","volume":"70","author":"Ding","year":"2015","journal-title":"Acta Geogr. Sinica"},{"key":"ref_32","unstructured":"Zhang, G.L. (2011). Response and Adaption of Agro-Ecosystem to Climate Warming in the Region Of Brahmaputra River and Its Two Tributaries in Tibet. [Ph.D. Thesis, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences]."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"470","DOI":"10.1080\/01431161.2017.1387308","article-title":"Effect of climate change on vegetation phenology of different land-cover types on the Tibetan Plateau","volume":"39","author":"Cheng","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.rse.2016.04.029","article-title":"Incorporating plant phenological trajectory in exotic saltcedar detection with monthly time series of Landsat imagery","volume":"182","author":"Diao","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.rse.2016.12.025","article-title":"Mapping the dynamics of eastern redcedar encroachment into grasslands during 1984\u20132010 through PALSAR and time series Landsat images","volume":"190","author":"Wang","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1002\/eap.1660","article-title":"Exacerbated grassland degradation and desertification in Central Asia during 2000\u20132014","volume":"28","author":"Zhang","year":"2018","journal-title":"Ecol. Appl."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.isprsjprs.2015.05.011","article-title":"Mapping paddy rice planting areas through time series analysis of MODIS land surface temperature and vegetation index data","volume":"106","author":"Zhang","year":"2015","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1029\/2006GB002888","article-title":"Growing season extension and its impact on terrestrial carbon cycle in the Northern Hemisphere over the past 2 decades","volume":"21","author":"Piao","year":"2007","journal-title":"Glob. Biogeochem. Cycles"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.rse.2015.01.004","article-title":"Tracking the dynamics of paddy rice planting area in 1986\u20132010 through time series Landsat images and phenology-based algorithms","volume":"160","author":"Dong","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.rse.2013.04.022","article-title":"Forest disturbances, forest recovery, and changes in forest types across the Carpathian ecoregion from 1985 to 2010 based on Landsat image composites","volume":"151","author":"Griffiths","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1071\/CP08372","article-title":"Agriculture in central Tibet: An assessment of climate, farming systems, and strategies to boost production","volume":"60","author":"Paltridge","year":"2009","journal-title":"Crop. Pasture Sci."},{"key":"ref_42","first-page":"39","article-title":"Spatial patterns of precipitation and topography in the Himalaya","volume":"Volume 398","author":"Anders","year":"2006","journal-title":"Tectonics, Climate, and Landscape Evolution"},{"key":"ref_43","unstructured":"Tashi, N., Yanhua, L., and Partap, T. (2002). Making Tibet Food Secure: Assessment of Scenarios, International Centre for Integrated Mountain Development."},{"key":"ref_44","first-page":"196","article-title":"Agricultural Development and Farmland Desertification in Middle \u201cOne River and Its Two Branches\u201d River Basin of Tibet","volume":"24","author":"Wei","year":"2004","journal-title":"J. Desert Res."},{"key":"ref_45","first-page":"180","article-title":"Analysis of the structure of compound agriculture-herding ecological system in the YLN Region of Tibet","volume":"25","author":"Ping","year":"2007","journal-title":"Agric. Res. Arid Areas"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.rse.2015.12.024","article-title":"Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity","volume":"185","author":"Roy","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/j.rse.2014.12.014","article-title":"Improvement and expansion of the Fmask algorithm: Cloud, cloud shadow, and snow detection for Landsats 4\u20137, 8, and Sentinel 2 images","volume":"159","author":"Zhu","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.rse.2011.10.028","article-title":"Object-based cloud and cloud shadow detection in Landsat imagery","volume":"118","author":"Zhu","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/0034-4257(79)90013-0","article-title":"Red and photographic infrared linear combinations for monitoring vegetation","volume":"8","author":"Tucker","year":"1979","journal-title":"Remote Sens. Environ."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/S0034-4257(02)00096-2","article-title":"Overview of the radiometric and biophysical performance of the MODIS vegetation indices","volume":"83","author":"Huete","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1016\/j.rse.2004.12.009","article-title":"Mapping paddy rice agriculture in southern China using multi-temporal MODIS images","volume":"95","author":"Xiao","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1016\/j.rse.2006.04.013","article-title":"Detecting leaf phenology of seasonally moist tropical forests in South America with multi-temporal MODIS images","volume":"103","author":"Xiao","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"4055","DOI":"10.5194\/bg-10-4055-2013","article-title":"A comparison of methods for smoothing and gap filling time series of remote sensing observations\u2014Application to MODIS LAI products","volume":"10","author":"Kandasamy","year":"2013","journal-title":"Biogeosciences"},{"key":"ref_54","first-page":"13","article-title":"Vegetation phenology dynamics and its response to climate change on the Tibetan Plateau","volume":"25","author":"Ma","year":"2016","journal-title":"Acta Pratacult. Sin."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1029\/2008EO100001","article-title":"New Global Hydrography Derived From Spaceborne Elevation Data","volume":"89","author":"Lehner","year":"2008","journal-title":"Eos Trans. Am. Geophys. Union"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1007\/s11442-014-1082-6","article-title":"Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s","volume":"24","author":"Liu","year":"2014","journal-title":"J. Geogr. Sci."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.isprsjprs.2014.09.002","article-title":"Global land cover mapping at 30m resolution: A POK-based operational approach","volume":"103","author":"Chen","year":"2015","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"5851","DOI":"10.1080\/01431161.2013.798055","article-title":"Improving 30 m global land-cover map FROM-GLC with time series MODIS and auxiliary data sets: A segmentation-based approach","volume":"34","author":"Yu","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.rse.2018.12.013","article-title":"Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product","volume":"222","author":"Gray","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1006\/jare.2001.0943","article-title":"Desertification and control plan in the Tibet Autonomous Region of China","volume":"51","author":"Sen","year":"2002","journal-title":"J. Arid. Environ."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.rse.2014.02.015","article-title":"Good practices for estimating area and assessing accuracy of land change","volume":"148","author":"Olofsson","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Chicco, D., and Jurman, G. (2020). The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation. BMC Genom., 21.","DOI":"10.1186\/s12864-019-6413-7"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.rse.2012.10.031","article-title":"Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation","volume":"129","author":"Olofsson","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Zhang, R., Ouyang, Z.-T., Xie, X., Guo, H.-Q., Tan, D.-Y., Xiao, X.-M., Qi, J.-G., and Zhao, B. (2016). Impact of Climate Change on Vegetation Growth in Arid Northwest of China from 1982 to 2011. Remote Sens., 8.","DOI":"10.3390\/rs8050364"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"3987","DOI":"10.1080\/01431160802575653","article-title":"Land Surface Water Index (LSWI) response to rainfall and NDVI using the MODIS Vegetation Index product","volume":"31","author":"Chandrasekar","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"2207","DOI":"10.1109\/TGRS.2006.872081","article-title":"On the blending of the Landsat and MODIS surface reflectance: Predicting daily Landsat surface reflectance","volume":"44","author":"Gao","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1117\/1.JRS.6.063507","article-title":"Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model","volume":"6","author":"Niu","year":"2012","journal-title":"J. Appl. Remote Sens."},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Knauer, K., Gessner, U., Fensholt, R., Forkuor, G., and Kuenzer, C. (2017). Monitoring Agricultural Expansion in Burkina Faso over 14 Years with 30 m Resolution Time Series: The Role of Population Growth and Implications for the Environment. Remote Sens., 9.","DOI":"10.3390\/rs9020132"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1109\/MGRS.2015.2434351","article-title":"Fusing Landsat and MODIS Data for Vegetation Monitoring","volume":"3","author":"Gao","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Mag."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"2607","DOI":"10.1080\/01431161.2012.748992","article-title":"Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data","volume":"34","author":"Gong","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1007\/s11434-012-5407-5","article-title":"Spatiotemporal variation in alpine grassland phenology in the Qinghai-Tibetan Plateau from 1999 to 2009","volume":"58","author":"Ding","year":"2013","journal-title":"Chin. Sci. Bull."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/j.rse.2018.10.039","article-title":"Conflation of expert and crowd reference data to validate global binary thematic maps","volume":"221","author":"Waldner","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"1301","DOI":"10.1016\/j.rse.2011.01.009","article-title":"Object-based crop identification using multiple vegetation indices, textural features and crop phenology","volume":"115","author":"Ngugi","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.rse.2018.02.050","article-title":"Mapping agricultural land abandonment from spatial and temporal segmentation of Landsat time series","volume":"210","author":"Yin","year":"2018","journal-title":"Remote Sens. 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