[HTML][HTML] A review of remote sensing for mangrove forests: 1956–2018

L Wang, M Jia, D Yin, J Tian - Remote Sensing of Environment, 2019 - Elsevier
Mangrove forests are highly productive ecosystems that typically dominate the intertidal
zone of tropical and subtropical coastlines. The history of mangrove remote sensing (RS) …

Remote sensing techniques: Mapping and monitoring of mangrove ecosystem—A review

K Maurya, S Mahajan, N Chaube - Complex & Intelligent Systems, 2021 - Springer
Mangrove forests are considered to be the most productive ecosystem yet vanishing rapidly
over the world. They are mostly found in the intertidal zone and sheltered by the seacoast …

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 …

Advances in multi-and hyperspectral remote sensing of mangrove species: A synthesis and study case on airborne and multisource spaceborne imagery

G Lassalle, MP Ferreira, LEC La Rosa… - ISPRS Journal of …, 2023 - Elsevier
This study summarizes the advances in mangrove species mapping based on multispectral
and hyperspectral imagery achieved over the last decade. The influence of species diversity …

An assessment of commonly employed satellite-based remote sensors for mapping mangrove species in Mexico using an NDVI-based classification scheme

L Valderrama-Landeros, F Flores-de-Santiago… - Environmental …, 2018 - Springer
Optimizing the classification accuracy of a mangrove forest is of utmost importance for
conservation practitioners. Mangrove forest mapping using satellite-based remote sensing …

Species-level classification and mapping of a mangrove forest using random forest—utilisation of AVIRIS-NG and sentinel data

MD Behera, S Barnwal, S Paramanik, P Das… - Remote Sensing, 2021 - mdpi.com
Although studies on species-level classification and mapping using multisource data and
machine learning approaches are plenty, the use of data with ideal placement of central …

Monitoring detailed mangrove hurricane damage and early recovery using multisource remote sensing data

DA Vizcaya-Martínez, F Flores-de-Santiago… - Journal of …, 2022 - Elsevier
Due to their location in tropical latitudes, mangrove forests are susceptible to the impact of
hurricanes and can be vastly damaged by their high-speed winds. Given the logistic …

GF-5 hyperspectral data for species mapping of mangrove in Mai Po, Hong Kong

L Wan, Y Lin, H Zhang, F Wang, M Liu, H Lin - Remote Sensing, 2020 - mdpi.com
Hyperspectral data has been widely used in species discrimination of plants with rich
spectral information in hundreds of spectral bands, while the availability of hyperspectral …

Google earth engine based three decadal landsat imagery analysis for mapping of mangrove forests and its surroundings in the trat province of Thailand

U Pimple, D Simonetti, A Sitthi… - … of Computer and …, 2017 - agroparistech.hal.science
Monitoring and understanding the changes in mangrove ecosystems and their surroundings
are required to determine how mangrove ecosystems are constantly changing while …

A fine-scale mangrove map of China derived from 2-meter resolution satellite observations and field data

T Zhang, S Hu, Y He, S You, X Yang, Y Gan… - … International Journal of …, 2021 - mdpi.com
Mangrove forests are important ecosystems in the coastal intertidal zone, but China's
mangroves have experienced a large reduction in area from the 1950s, and the remaining …