Recent Advancement in Mangrove Forests Mapping and Monitoring of the World Using Earth Observation Satellite Data
Citation:
Giri, C. Recent Advancement in Mangrove Forests Mapping and Monitoring of the World Using Earth Observation Satellite Data. Remote Sensing. MDPI, Basel, Switzerland, 13(4):563, (2021). https://doi.org/10.3390/rs13040563
Impact/Purpose:
The purpose is the inform scholar and decision makers about the recent development in mapping and monitoring of mangrove forests using earth observation satellite data
Description:
Mangrove forests are distributed in the tropical and subtropical regions of the world largely con-fined within ± 10 degrees latitude. The forests provide important ecosystem goods and services to nature and society. In recent years, the carbon sequestration potential and protective role of man-grove forests from natural disasters is being highlighted as an effective option for climate change adaptation and coastal protection. Mangrove forests are in constant flux emanating from both natural and anthropogenic forces. The changing mangroves will have important consequences to coastal communities. At present, conversion of mangroves to other land uses is the dominant factor responsible for the change; however, sea level rise and natural disasters such as hurricanes are becoming increasingly dominant. However, accurate, reliable, and timely information of the dis-tribution and dynamics of mangrove forests of the world is not readily available. Observation and monitoring of the distribution and dynamics of mangroves is central to a wide range of scientific investigations conducted in both terrestrial and marine ecosystems. Recent developments in the availability and accessibility of remotely sensed data, advancement in image pre-processing and classification algorithms, significant improvement in computing, availability of expertise in han-dling remotely sensed data, and an increasing awareness of the applicability of remote sensing products has greatly improved our scientific understanding of changing mangrove forest cover attributes. As reported in this special issue, the use of multi-source remotely sensed data for a wide variety of applications are being used. Data used in the special issue include aerial photographs, Landsat, SPOT, Sentilal-2, ALOS, PALSAR, WorldView-2, and UAV at various spatial resolutions (i.e., 1 m to 30 m). New and innovative applications such as phenology, mangrove degradation, and forest fire were studied using new image processing platforms and techniques such as Google Earth Engine, upscaling approach, machine learning, and artificial neural network. This mul-ti-sensor trend is likely to continue providing a more complete inventory of global mangrove forest distributions and attribute inventories at enhanced temporal frequency. The 12 papers presented in this “Special Issue” provide important remote sensing monitoring advancements needed to meet future scientific objectives for global mangrove forest monitoring from local to global scales
URLs/Downloads:
DOI: Recent Advancement in Mangrove Forests Mapping and Monitoring of the World Using Earth Observation Satellite Data