[HTML][HTML] Google Earth Engine: a global analysis and future trends
The continuous increase in the volume of geospatial data has led to the creation of storage
tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform …
tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform …
Coastline extraction using remote sensing: A review
W Sun, C Chen, W Liu, G Yang, X Meng… - GIScience & Remote …, 2023 - Taylor & Francis
Coastlines are important basic geographic elements and map** their spatial and attribute
changes can help monitor, model and manage coastal zones. Traditional studies focused on …
changes can help monitor, model and manage coastal zones. Traditional studies focused on …
Phenology-assisted supervised paddy rice map** with the Landsat imagery on Google Earth Engine: Experiments in Heilongjiang Province of China from 1990 to …
Accurate spatial distribution maps of paddy rice played crucial roles in food security and
market stability. Decades-spanning Landsat images were useful for long-term paddy rice …
market stability. Decades-spanning Landsat images were useful for long-term paddy rice …
Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine
Synthetic aperture radar (SAR) sensors represent an indispensable data source for flood
disaster planners and responders, given their ability to image the Earth's surface nearly …
disaster planners and responders, given their ability to image the Earth's surface nearly …
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 …
Spatially and thematically explicit information of wetlands is important to understanding
ecosystem functions and services, as well as for establishment of management policy and …
ecosystem functions and services, as well as for establishment of management policy and …
Towards paddy rice smart farming: a review on big data, machine learning, and rice production tasks
Big Data (BD), Machine Learning (ML) and Internet of Things (IoT) are expected to have a
large impact on Smart Farming and involve the whole supply chain, particularly for rice …
large impact on Smart Farming and involve the whole supply chain, particularly for rice …
Rapid, robust, and automated map** of tidal flats in China using time series Sentinel-2 images and Google Earth Engine
Tidal flats are threatened by tidal reclamation and climatic changes around the world.
Particular challenges exist in China where tidal flats are changing rapidly along with …
Particular challenges exist in China where tidal flats are changing rapidly along with …