[1] D LI, G WANG, C QIN et al. River extraction under bank full discharge conditions based on Sentinel-2 imagery and DEM data. Remote Sensing, 13, 2650(2021).
[2] N KROPACEK J, T BOLCH et al. Glacier mass changes on the Tibetan Plateau 2003-2009 derived from ICESat laser altimetry measurements. Environmental research letters, 9, 14007-14009(2014).
[3] F BRUN, E BERTHIER, P WAGNON et al. A spatially resolved estimate of High Mountain Asia glacier mass balances from 2000 to 2016. Nature Geoscience, 10, 668-673(2017).
[4] T D YAO, L THOMPSON, W YANG et al. Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings. Nature Climate Change, 2, 663-667(2012).
[5] T D YAO, Z J YAO. Impacts of glacial reretreat on runoff on Tibetan Plateau. Chinese Journal of Nature, 32, 4-8(2010).
[6] D GILVEAR, R BRYANT. Analysis of remotely sensed data for fluvial geomorphology and river science. Tools in fluvial Geomorphology, 6, 103-132(2016).
[7] X X WANG, X M XIAO, Z H ZOU et al. Tracking annual changes of coastal tidal flats in China during 1986-2016 through analyses of Landsat images with Google Earth Engine. Remote Sensing of Environment, 238110987(2020).
[8] Donchyts GENNADII, J SCHELLEKENS, H WINSEMIUS et al. A 30 m Resolution surface water mask including estimation of positional and thematic differences using Landsat 8, SRTM and OpenStreetMap: a case study in the Murray-Darling basin,Australia. Remote Sensing, 8, 386(2016).
[9] G ALLEN, T PAVELSKY. Global extent of rivers and stre-ams. Science, 361, 585-588(2018).
[10] C WANG, M M JIA, N C CHEN et al. Long-term surface water dynamics analysis based on Landsat imagery and the Google Earth Engine platform: a case study in the middle Yangtze River basin. Remote Sensing, 10, 1635(2018).
[11] Z F WANG, J G LIU, J B LI et al. Basin-scale high-resolution extraction of drainage networks using 10-m Sentinel-2 imagery. Remote Sensing of Environment, 255, 112281(2021).
[12] R MUELCHI, O RÖSSLER, J SCHWANBECK et al. River runoff in Switzerland in a changing climate changes in moderate extremes and their seasonality. Hydrology and Earth System Sciences, 25, 3577-3594(2021).
[13] P WU, S H LIANG, X S WANG et al. Climate change impacts on cold season runoff in the headwaters of the Yellow River considering frozen ground degradation. Water, 12, 602(2020).
[14] R BOOTHROYD, R WILLIAMS, T HOEY et al. Applications of Google Earth Engine in fluvial geomorphology for detecting river channel change. Wiley Interdisciplinary Reviews-water, 8(2021).
[15] D M FENG, C GLEASON, Xiao YANG et al. How Have Global River Widths Changed Over Time?. Water Resources Research, 58(2022).
[16] B WANG, L SMITH, X YANG et al. Remote sensing of broad-scale controls on large river anabranching. Remote Sensing of Environment, 58(2022).
[17] Q H WU, J D KE LH WANG et al. Satellites reveal hotspots of global river extent change. Nature Communications, 14(2023).
[18] K FRYIRS, J WHEATON, S BIZZI et al. To plug-in or not to plug-in? Geomorphic analysis of rivers using the River Styles Framework in an era of big data acquisition and automation. Wiley Interdisciplinary Reviews-water, 6(2019).
[19] H PIÉGAY, F ARNAUD, B BELLETTI et al. Remotely sensed rivers in the Anthropocene: state of the art and prospects. Earth Surface Processes and Landforms, 45, 157-188(2020).
[20] J LEA. The Google Earth Engine Digitisation Tool (GEEDiT) and the Margin change Quantification Tool (MaQiT) - simple tools for the rapid mapping and quantification of changing Earth surface margins. Earth Surface Dynamics, 6, 551-561(2018).
[21] D YAMAZAKI, D IKESHIMA, R TAWATARI et al. A high-accuracy map of global terrain elevations: Accurate Global Terrain Elevation map. Geophysical Research Letters, 44, 5844-5853(2017).
[22] B LEHNER, G GRILL. Global river hydrography and network routing: baseline data and new approaches to study the world's large river systems. Hydrological Processes, 27, 2171-2186(2013).
[23] H ORENGO, C PETRIE. Large-scale,multi-temporal remote sensing of Palaeo-River Networks: A case study from northwest India and its implications for the Indus civilisation. Remote Sensing, 9, 735(2017).
[24] N OTSU. A Threshold selection method from gray-level histograms. IEEE Transactions on Systems,Man,and Cyberne-tics, 9, 62-66(1979).
[25] L BREIMAN. Random Forests. Machine Learning, 45, 5-32(2001).
[26] C DINIZ, L CORTINHAS, G NERINO et al. Brazilian mangrove status: Three decades of satellite data analysis. Remote Sensing(Basel,Switzerland), 11, 808(2019).
[27] H Q XU. A study on information extraction of water body with the Modified Normalized Difference Water Index (MNDWI). National Remote Sensing Bulletin, 9, 589-595(2005).
[28] S MCFEETERS. The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17, 1425-1432(1996).
[29] A FISHER, N FLOOD, T DANAHER. Comparing Landsat water index methods for automated water classification in eastern Australia. Remote Sensing of Environment, 175167-182(2016).
[30] HARALICK R-M, K SHANMUGAM, I DINSTEIN. Textural features for image classification(1973).
[31] LUCAS I-F, FRANS J-M. Accuracy assessment of satellite derived land-cover data: A review. Photogrammetric Engineering and Remote Sensing, 60, 419-426(1994).
[32] V H PHAN, R C LINDENBERGH, M MENENTI. Geometric dependency of Tibetan lakes on glacial runoff. Hydrology and Earth System Sciences, 17, 4061-4077(2013).
[33] P C SU, J J LIU, Y LI et al. Changes in glacial lakes in the Poiqu River basin in the central Himalayas. Hydrology and Earth System Sciences, 25, 5879-5903(2021).
[34] Y B LEI, T D YAO, K YANG et al. Lake seasonality across the Tibetan Plateau and their varying relationship with regional mass changes and local hydrology. Geophysical Research Letters, 44, 892-900(2017).
[35] G Q ZHANG, H J XIE, S C KANG et al. Monitoring lake level changes on the Tibetan Plateau using ICESat altimetry data (2003-2009). Remote Sensing of Environment, 115, 1733-1742(2011).
[36] C Q SONG, B HUANG, K RICHARDS et al. Accelerated lake expansion on the Tibetan Plateau in the 2000s: Induced by glacial melting or other processes?. Water Resources Resea-rch, 50, 3170-3186(2014).
[37] J S LIU, S Y WANG, S M YU et al. Climate warming and growth of high-elevation inland lakes on the Tibetan Plateau. Global and Planetary Change, 67, 209-217(2009).
[38] G Q ZHANG, W F CHEN, G LI et al. Lake water and glacier mass gains in the northwestern Tibetan Plateau observed from multi-sensor remote sensing data: Implication of an enhanced hydrological cycle. Remote Sensing of Environment, 237, 111554(2020).