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[HTML][HTML] Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data
The enormous increase of remote sensing data from airborne and space-borne platforms, as
well as ground measurements has directed the attention of scientists towards new and …
well as ground measurements has directed the attention of scientists towards new and …
Use of machine learning and remote sensing techniques for shoreline monitoring: a review of recent literature
Climate change and its effects (ie, sea level rise, extreme weather events) as well as
anthropogenic activities, determine pressures to the coastal environments and contribute to …
anthropogenic activities, determine pressures to the coastal environments and contribute to …
Development and application of a new mangrove vegetation index (MVI) for rapid and accurate mangrove map**
Abstract Advancement in Remote Sensing allows rapid mangrove map** without the need
for data-intensive methodologies, complex classifiers, and skill-dependent classification …
for data-intensive methodologies, complex classifiers, and skill-dependent classification …
China's wetlands loss to urban expansion
Humans benefit from multiple ecosystem services of wetlands, but massive wetland loss has
occurred worldwide due to rapid urbanization. To assess the problem, it is necessary to …
occurred worldwide due to rapid urbanization. To assess the problem, it is necessary to …
Decision tree and random forest classification algorithms for mangrove forest map** in Sembilang National Park, Indonesia
Sembilang National Park, one of the best and largest mangrove areas in Indonesia, is very
vulnerable to disturbance by community activities. Changes in the dynamic condition of …
vulnerable to disturbance by community activities. Changes in the dynamic condition of …
Identifying mangroves through knowledge extracted from trained random forest models: An interpretable mangrove map** approach (IMMA)
Black-box algorithms are among the dominant mangrove map** approaches with
complex decision-making procedures. Model internals and tacit knowledge were neglected …
complex decision-making procedures. Model internals and tacit knowledge were neglected …
Satellite remote sensing of mangrove forests: Recent advances and future opportunities
Mangroves are salt tolerant woody plants that form highly productive intertidal ecosystems in
tropical and subtropical regions. Despite the established importance of mangroves to the …
tropical and subtropical regions. Despite the established importance of mangroves to the …
Remote sensing of wetlands: applications and advances
RW Tiner, MW Lang, VV Klemas - 2015 - books.google.com
This book provides a thorough introduction to the use of remotely sensed data for wetland
classification and map**, as well as information on the latest technological advancements …
classification and map**, as well as information on the latest technological advancements …
Map** of mangrove forest land cover change along the Kenya coastline using Landsat imagery
Mangroves in Kenya provide a wide range of valuable services to coastal communities
despite their relatively small total area. Studies at single sites show reductions in extent and …
despite their relatively small total area. Studies at single sites show reductions in extent and …
10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations
China has lost 50% of its mangroves since the 1950s, while the remaining mangroves are
exhibiting an increase in fragmentation. While a detailed mangrove map of China derived …
exhibiting an increase in fragmentation. While a detailed mangrove map of China derived …