Review of the use of remote sensing for biomass estimation to support renewable energy generation
The quantification, map** and monitoring of biomass are now central issues due to the
importance of biomass as a renewable energy source in many countries of the world. The …
importance of biomass as a renewable energy source in many countries of the world. The …
Remote sensing of boreal wetlands 2: methods for evaluating boreal wetland ecosystem state and drivers of change
The following review is the second part of a two part series on the use of remotely sensed
data for quantifying wetland extent and inferring or measuring condition for monitoring …
data for quantifying wetland extent and inferring or measuring condition for monitoring …
Building extraction in very high resolution remote sensing imagery using deep learning and guided filters
Y Xu, L Wu, Z ** by integrating image fusion techniques and ensemble machine learning classifiers
Among all the natural features, wetlands are the most difficult to map and monitor because of
their complicated morphology, ie, their diverse shapes and sizes, ranging from open …
their complicated morphology, ie, their diverse shapes and sizes, ranging from open …
[HTML][HTML] Remote sensing approach for monitoring coastal wetland in the Mekong Delta, Vietnam: Change trends and their driving forces
Coastal wetlands in the Mekong Delta (MD), Vietnam, provide various vital ecosystem
services for the region. These wetlands have experienced critical changes due to the …
services for the region. These wetlands have experienced critical changes due to the …
Remote sensing and machine learning tools to support wetland monitoring: a meta-analysis of three decades of research
Despite their importance to ecosystem services, wetlands are threatened by pollution and
development. Over the last few decades, a growing number of wetland studies employed …
development. Over the last few decades, a growing number of wetland studies employed …
[HTML][HTML] Study on transfer learning ability for classifying marsh vegetation with multi-sensor images using DeepLabV3+ and HRNet deep learning algorithms
The verification of the transfer learning ability of the convolutional neural network in the
classification of natural vegetation is relatively lacking. In this paper, 16 combination …
classification of natural vegetation is relatively lacking. In this paper, 16 combination …
Land-use classifying and identification of the production-living-ecological space of island villages—A case study of islands in the western sea area of Guangdong …
R Bai, Y Shi, Y Pan - Land, 2022 - mdpi.com
Accurately identifying the rural production-living-ecological space (PLES) of different islands
can help reveal their distinct natural resources and land-use situations, which is significant …
can help reveal their distinct natural resources and land-use situations, which is significant …
Remote sensing of boreal wetlands 1: Data use for policy and management
Wetlands have and continue to undergo rapid environmental and anthropogenic
modification and change to their extent, condition, and therefore, ecosystem services. In this …
modification and change to their extent, condition, and therefore, ecosystem services. In this …