A review of spectral indices for mangrove remote sensing

TV Tran, R Reef, X Zhu - Remote Sensing, 2022 - mdpi.com
Mangrove ecosystems provide critical goods and ecosystem services to coastal
communities and contribute to climate change mitigation. Over four decades, remote …

[HTML][HTML] A review of remote sensing approaches for monitoring blue carbon ecosystems: Mangroves, seagrasses and salt marshes during 2010–2018

TD Pham, J Xia, NT Ha, DT Bui, NN Le, W Takeuchi - Sensors, 2019 - mdpi.com
Blue carbon (BC) ecosystems are an important coastal resource, as they provide a range of
goods and services to the environment. They play a vital role in the global carbon cycle by …

Development and application of a new mangrove vegetation index (MVI) for rapid and accurate mangrove mapping

AB Baloloy, AC Blanco, RRCS Ana… - ISPRS Journal of …, 2020 - Elsevier
Abstract Advancement in Remote Sensing allows rapid mangrove mapping without the need
for data-intensive methodologies, complex classifiers, and skill-dependent classification …

Detection and characterization of coastal tidal wetland change in the northeastern US using Landsat time series

X Yang, Z Zhu, S Qiu, KD Kroeger, Z Zhu… - Remote Sensing of …, 2022 - Elsevier
Coastal tidal wetlands are highly altered ecosystems exposed to substantial risk due to
widespread and frequent land-use change coupled with sea-level rise, leading to disrupted …

Evaluating the performance of Sentinel-2, Landsat 8 and Pléiades-1 in mapping mangrove extent and species

D Wang, B Wan, P Qiu, Y Su, Q Guo, R Wang, F Sun… - Remote Sensing, 2018 - mdpi.com
Mapping mangrove extent and species is important for understanding their response to
environmental changes and for observing their integrity for providing goods and services …

Brazilian mangrove status: Three decades of satellite data analysis

C Diniz, L Cortinhas, G Nerino, J Rodrigues, L Sadeck… - Remote Sensing, 2019 - mdpi.com
Since the 1980s, mangrove cover mapping has become a common scientific task. However,
the systematic and continuous identification of vegetation cover, whether on a global or …

Decision tree and random forest classification algorithms for mangrove forest mapping in Sembilang National Park, Indonesia

AD Purwanto, K Wikantika, A Deliar, S Darmawan - Remote Sensing, 2022 - mdpi.com
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 …

A new vegetation index to detect periodically submerged mangrove forest using single-tide Sentinel-2 imagery

M Jia, Z Wang, C Wang, D Mao, Y Zhang - Remote Sensing, 2019 - mdpi.com
Mangrove forests are tropical trees and shrubs that grow in sheltered intertidal zones.
Accurate mapping of mangrove forests is a great challenge for remote sensing because …

10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations

C Zhao, CZ Qin - ISPRS Journal of Photogrammetry and Remote …, 2020 - Elsevier
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 …

[HTML][HTML] Dynamic simulation of coastal wetlands for Guangdong-Hong Kong-Macao Greater Bay area based on multi-temporal Landsat images and FLUS model

H Guo, Y Cai, Z Yang, Z Zhu, Y Ouyang - Ecological Indicators, 2021 - Elsevier
Coastal wetlands play a vital role in coastline protection. Coastal landscape of the
Guangdong-Hong Kong-Macao Greater Bay Area (GBA) has changed drastically. In order to …