Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …

With the galloping progress of the changing climates all around the world, Machine Learning
(ML) approaches have been prevalently studied in many types of research in this area. ML is …

Google Earth Engine (GEE) is a versatile cloud platform in which pixel-based (PB) and
object-oriented (OO) Land Use–Land Cover (LULC) classification approaches can be …

Urban pluvial flooding has become a threatening hazard to ecosystem and human lives in
recent years. Identifying its driving factors is essential for stormwater management. A …

Abstract Google Earth Engine (GEE) is a geospatial processing platform based on geo-
information applications in the 'cloud'. This platform provides free access to huge volumes of …

Large-scale, long-term series, and high-precision land use and cover change (LUCC)
mapping is the basic support for territorial spatial planning and sustainable development in …

Large-scale monitoring of surface water bodies is of great significance to the sustainable
development of regional ecosystems. Remote sensing is currently the main method of global …

As the convenient outlet to the Bo Sea and the major region of economic development in the
Yellow River Basin, Shandong Province in China has undergone large changes in land …

Water resources are vital to the survival of living organisms and contribute substantially to
the development of various sectors. Climatic diversity, topographic conditions, and uneven …

Water detection from SAR imagery has significant values, such as the flood monitoring and
environmental protection. Nowadays, significant progress has been achieved in water …