Sentinel-2 data for land cover/use mapping: A review
The advancement in satellite remote sensing technology has revolutionised the approaches
to monitoring the Earth's surface. The development of the Copernicus Programme by the …
to monitoring the Earth's surface. The development of the Copernicus Programme by the …
High resolution wheat yield mapping using Sentinel-2
ML Hunt, GA Blackburn, L Carrasco… - Remote Sensing of …, 2019 - Elsevier
Accurate crop yield estimates are important for governments, farmers, scientists and
agribusiness. This paper provides a novel demonstration of the use of freely available …
agribusiness. This paper provides a novel demonstration of the use of freely available …
[HTML][HTML] Landsat-8 and Sentinel-2 burned area mapping-A combined sensor multi-temporal change detection approach
The free-availability of global coverage Landsat-8 and Sentinel-2 data provides the
opportunity for systematic generation of medium spatial resolution land products. This paper …
opportunity for systematic generation of medium spatial resolution land products. This paper …
Sub-continental-scale mapping of tidal wetland composition for East Asia: A novel algorithm integrating satellite tide-level and phenological features
Tidal wetlands, the global hotspots of biodiversity and carbon stocks, are currently
experiencing widespread modifications in their composition due to human disturbances and …
experiencing widespread modifications in their composition due to human disturbances and …
Evaluating combinations of temporally aggregated Sentinel-1, Sentinel-2 and Landsat 8 for land cover mapping with Google Earth Engine
Land cover mapping of large areas is challenging due to the significant volume of satellite
data to acquire and process, as well as the lack of spatial continuity due to cloud cover …
data to acquire and process, as well as the lack of spatial continuity due to cloud cover …
phenofit: An R package for extracting vegetation phenology from time series remote sensing
Satellite‐derived vegetation indices (VIs) provide a way to analyse vegetation phenology
over decades globally. However, these data are often contaminated by different kinds of …
over decades globally. However, these data are often contaminated by different kinds of …
Development of a 10-m resolution maize and soybean map over China: Matching satellite-based crop classification with sample-based area estimation
Spatially explicit information on crop distribution is essential for market information, food
security, and agricultural sustainability. However, high-resolution crop maps are unavailable …
security, and agricultural sustainability. However, high-resolution crop maps are unavailable …
[HTML][HTML] Exploring the potential of land surface phenology and seasonal cloud free composites of one year of Sentinel-2 imagery for tree species mapping in a …
A Kollert, M Bremer, M Löw, M Rutzinger - International Journal of Applied …, 2021 - Elsevier
Optical satellite imagery with high temporal and spatial resolution, such as acquired by
Sentinel-2, is increasingly becoming available and is used to derive maps of tree species …
Sentinel-2, is increasingly becoming available and is used to derive maps of tree species …
Mapping crop types in southeast India with smartphone crowdsourcing and deep learning
High resolution satellite imagery and modern machine learning methods hold the potential
to fill existing data gaps in where crops are grown around the world at a sub-field level …
to fill existing data gaps in where crops are grown around the world at a sub-field level …
[HTML][HTML] Comparison of cloud detection algorithms for Sentinel-2 imagery
Accurate, automated cloud and cloud shadow detection is a key component of the
processing needed to prepare optical satellite imagery for scientific analysis. Many existing …
processing needed to prepare optical satellite imagery for scientific analysis. Many existing …