Google Earth Engine and artificial intelligence (AI): a comprehensive review
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 …
global climate change, risk assessment and vulnerability reduction of natural hazards …
Recent applications of Landsat 8/OLI and Sentinel-2/MSI for land use and land cover mapping: A systematic review
M ED Chaves, M CA Picoli, I D. Sanches - Remote Sensing, 2020 - mdpi.com
Recent applications of Landsat 8 Operational Land Imager (L8/OLI) and Sentinel-2
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …
High-resolution mapping of losses and gains of Earth's tidal wetlands
Tidal wetlands are expected to respond dynamically to global environmental change, but the
extent to which wetland losses have been offset by gains remains poorly understood. We …
extent to which wetland losses have been offset by gains remains poorly understood. We …
30 m annual land cover and its dynamics in China from 1990 to 2019
Land cover (LC) determines the energy exchange, water and carbon cycle between Earth's
spheres. Accurate LC information is a fundamental parameter for the environment and …
spheres. Accurate LC information is a fundamental parameter for the environment and …
Reconstructing three decades of land use and land cover changes in brazilian biomes with landsat archive and earth engine
Brazil has a monitoring system to track annual forest conversion in the Amazon and most
recently to monitor the Cerrado biome. However, there is still a gap of annual land use and …
recently to monitor the Cerrado biome. However, there is still a gap of annual land use and …
GLC_FCS30: Global land-cover product with fine classification system at 30 m using time-series Landsat imagery
Over past decades, a lot of global land-cover products have been released; however, these
still lack a global land-cover map with a fine classification system and spatial resolution …
still lack a global land-cover map with a fine classification system and spatial resolution …
Using publicly available satellite imagery and deep learning to understand economic well-being in Africa
Accurate and comprehensive measurements of economic well-being are fundamental inputs
into both research and policy, but such measures are unavailable at a local level in many …
into both research and policy, but such measures are unavailable at a local level in many …
Improved land cover map of Iran using Sentinel imagery within Google Earth Engine and a novel automatic workflow for land cover classification using migrated …
Accurate information about the location, extent, and type of Land Cover (LC) is essential for
various applications. The only recent available country-wide LC map of Iran was generated …
various applications. The only recent available country-wide LC map of Iran was generated …
Land use and land cover mapping using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A comparison of two composition methods
Accurate and real-time land use/land cover (LULC) maps are important to provide precise
information for dynamic monitoring, planning, and management of the Earth. With the advent …
information for dynamic monitoring, planning, and management of the Earth. With the advent …
The 10-m crop type maps in Northeast China during 2017–2019
Northeast China is the leading grain production region in China where one-fifth of the
national grain is produced; however, consistent and reliable crop maps are still unavailable …
national grain is produced; however, consistent and reliable crop maps are still unavailable …