A review of the application of optical and radar remote sensing data fusion to land use map** and monitoring

N Joshi, M Baumann, A Ehammer, R Fensholt… - Remote Sensing, 2016 - mdpi.com
The wealth of complementary data available from remote sensing missions can hugely aid
efforts towards accurately determining land use and quantifying subtle changes in land use …

Remote sensing of grassland production and management—A review

S Reinermann, S Asam, C Kuenzer - Remote Sensing, 2020 - mdpi.com
Grasslands cover one third of the earth's terrestrial surface and are mainly used for livestock
production. The usage type, use intensity and condition of grasslands are often unclear …

Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover map** via a multi-source deep learning architecture

D Ienco, R Interdonato, R Gaetano… - ISPRS Journal of …, 2019 - Elsevier
The huge amount of data currently produced by modern Earth Observation (EO) missions
has allowed for the design of advanced machine learning techniques able to support …

Estimating leaf area index and aboveground biomass of grazing pastures using Sentinel-1, Sentinel-2 and Landsat images

J Wang, X ** with Google Earth Engine
L Carrasco, AW O'Neil, RD Morton, CS Rowland - Remote Sensing, 2019 - mdpi.com
Land cover map** 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 …

Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation map** using deep learning

G Konapala, SV Kumar, SK Ahmad - ISPRS Journal of Photogrammetry and …, 2021 - Elsevier
Identification of flood water extent from satellite images has historically relied on either
synthetic aperture radar (SAR) or multi-spectral (MS) imagery. MS sensors are limited to …

Effect of training class label noise on classification performances for land cover map** with satellite image time series

C Pelletier, S Valero, J Inglada, N Champion… - Remote Sensing, 2017 - mdpi.com
Supervised classification systems used for land cover map** require accurate reference
databases. These reference data come generally from different sources such as field …

Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives

A Lausch, L Bannehr, M Beckmann, C Boehm… - Ecological …, 2016 - Elsevier
Impacts of human civilization on ecosystems threaten global biodiversity. In a changing
environment, traditional in situ approaches to biodiversity monitoring have made significant …