Deep learning for land use and land cover classification based on hyperspectral and multispectral earth observation data: A review
Lately, with deep learning outpacing the other machine learning techniques in classifying
images, we have witnessed a growing interest of the remote sensing community in …
images, we have witnessed a growing interest of the remote sensing community in …
A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
Remote sensing-based methods of aboveground biomass (AGB) estimation in forest
ecosystems have gained increased attention, and substantial research has been conducted …
ecosystems have gained increased attention, and substantial research has been conducted …
[BOOK][B] Computer processing of remotely-sensed images
Computer Processing of Remotely-Sensed Images A thorough introduction to computer
processing of remotely-sensed images, processing methods, and applications Remote …
processing of remotely-sensed images, processing methods, and applications Remote …
Applications in remote sensing to forest ecology and management
Remote sensing provides valuable insights into pressing environmental challenges and is a
critical tool for driving solutions. In this Primer, we briefly introduce the important role of …
critical tool for driving solutions. In this Primer, we briefly introduce the important role of …
Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms
Y Li, M Li, C Li, Z Liu - Scientific reports, 2020 - nature.com
Forest aboveground biomass (AGB) plays an important role in the study of the carbon cycle
and climate change in the global terrestrial ecosystem. AGB estimation based on remote …
and climate change in the global terrestrial ecosystem. AGB estimation based on remote …
The potential and challenge of remote sensing‐based biomass estimation
D Lu - International journal of remote sensing, 2006 - Taylor & Francis
Remotely sensed data have become the primary source for biomass estimation. A summary
of previous research on remote sensing‐based biomass estimation approaches and a …
of previous research on remote sensing‐based biomass estimation approaches and a …
Remote sensing of mangrove ecosystems: A review
Mangrove ecosystems dominate the coastal wetlands of tropical and subtropical regions
throughout the world. They provide various ecological and economical ecosystem services …
throughout the world. They provide various ecological and economical ecosystem services …
Synergistic use of radar Sentinel-1 and optical Sentinel-2 imagery for crop map**: A case study for Belgium
A timely inventory of agricultural areas and crop types is an essential requirement for
ensuring global food security and allowing early crop monitoring practices. Satellite remote …
ensuring global food security and allowing early crop monitoring practices. Satellite remote …
Remote sensing technology for map** and monitoring land-cover and land-use change
In the last three decades, the technologies and methods of remote sensing have evolved
dramatically to include a suite of sensors operating at a wide range of imaging scales with …
dramatically to include a suite of sensors operating at a wide range of imaging scales with …
[BOOK][B] The normalized difference vegetation index
N Pettorelli - 2013 - books.google.com
There has been a recent surge of interest in remote sensing and its use in ecology and
conservation but this is the first book to focus explicitly on the NDVI (Normalised Difference …
conservation but this is the first book to focus explicitly on the NDVI (Normalised Difference …