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[HTML][HTML] A review of spectral indices for mangrove remote sensing
Mangrove ecosystems provide critical goods and ecosystem services to coastal
communities and contribute to climate change mitigation. Over four decades, remote …
communities and contribute to climate change mitigation. Over four decades, remote …
Microbial diversity and ecological interactions of microorganisms in the mangrove ecosystem: Threats, vulnerability, and adaptations
Mangroves are among the world's most productive ecosystems and a part of the “blue
carbon” sink. They act as a connection between the terrestrial and marine ecosystems …
carbon” sink. They act as a connection between the terrestrial and marine ecosystems …
Global-change controls on soil-carbon accumulation and loss in coastal vegetated ecosystems
Coastal seagrass, mangrove and salt-marsh ecosystems—also termed blue-carbon
ecosystems—play an important role in the global carbon cycle. Much of the organic carbon …
ecosystems—play an important role in the global carbon cycle. Much of the organic carbon …
[HTML][HTML] Performance evaluation of machine learning methods for forest fire modeling and prediction
Predicting and map** fire susceptibility is a top research priority in fire-prone forests
worldwide. This study evaluates the abilities of the Bayes Network (BN), Naïve Bayes (NB) …
worldwide. This study evaluates the abilities of the Bayes Network (BN), Naïve Bayes (NB) …
[HTML][HTML] Prediction success of machine learning methods for flash flood susceptibility map** in the Tafresh watershed, Iran
Floods are some of the most destructive and catastrophic disasters worldwide. Development
of management plans needs a deep understanding of the likelihood and magnitude of future …
of management plans needs a deep understanding of the likelihood and magnitude of future …
[HTML][HTML] Soft computing ensemble models based on logistic regression for groundwater potential map**
Groundwater potential maps are one of the most important tools for the management of
groundwater storage resources. In this study, we proposed four ensemble soft computing …
groundwater storage resources. In this study, we proposed four ensemble soft computing …
[HTML][HTML] Landslide susceptibility map** using machine learning algorithms and remote sensing data in a tropical environment
We used AdaBoost (AB), alternating decision tree (ADTree), and their combination as an
ensemble model (AB-ADTree) to spatially predict landslides in the Cameron Highlands …
ensemble model (AB-ADTree) to spatially predict landslides in the Cameron Highlands …
The main aim of this study is to assess groundwater potential of the DakNong province,
Vietnam, using an advanced ensemble machine learning model (RABANN) that integrates …
Vietnam, using an advanced ensemble machine learning model (RABANN) that integrates …
[HTML][HTML] Challenges and perspectives for the Brazilian semi-arid coast under global environmental changes
Understanding the impacts on the Brazilian semi-arid coast, which is a drought-prone area
(> 1000 km) in the tropical Atlantic, and how ecosystems survive and adapt to such extreme …
(> 1000 km) in the tropical Atlantic, and how ecosystems survive and adapt to such extreme …