Abstract
Mangrove forests, distributed in the tropical and subtropical regions of the world, are in a constant flux. They provide important ecosystem goods and services to nature and society. In recent years, the carbon sequestration potential and protective role of mangrove forests from natural disasters is being highlighted as an effective option for climate change adaptation and mitigation. The forests are under threat from both natural and anthropogenic forces. However, accurate, reliable, and timely information of the distribution and dynamics of mangrove forests of the world is not readily available. 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 handling 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 both optical and radar satellite data at various spatial resolutions (i.e., 1 m to 30 m) to derive meaningful forest cover attributes (e.g., species discrimination, above ground biomass) is on the rise. This multi-sensor trend is likely to continue into the future providing a more complete inventory of global mangrove forest distributions and attribute inventories at enhanced temporal frequency. The 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.
Highlights
BackgroundMangrove forests are distributed in the inter-tidal region between the sea and the land in the tropical and subtropical regions of the world largely between 30◦ N and 30◦ S latitude
Mangrove forests are distributed in the inter-tidal region between the sea and the land in the tropical and subtropical regions of the world largely between 30◦ N and 30◦ S latitude.The total mangrove forest area of the world in the year 2000 was 137,760 km2 in 118 countries and territories, accounting for less than 1% of total tropical forests of the world (Figure 1) [1]
The results demonstrate that species type information obtained from the WorldView-2 images can significantly improve the accuracy of the biomass estimation
Summary
Mangrove forests are distributed in the inter-tidal region between the sea and the land in the tropical and subtropical regions of the world largely between 30◦ N and 30◦ S latitude. To increase understanding of the distribution and dynamics of mangrove forests, scientists are Despite the importance of mangrove forests, reliable, accurate, and timely information on employing new and novel image interpretation and classification techniques Space agencies such forests of the world not available. To increase understanding of the distribution and dynamics of mangrove forests, scientists are remote sensing technologies are being utilized and their impact on solving complex environmental employing new and novel image interpretation and classification techniques Recent advancement in remote sensing data availability, image-processing methodologies, computing and information technology, and human resources development have provided an opportunity to observe and monitor mangroves from local to global scales on a consistent and regular basis. This issue, consisting of nine papers, is dedicated to mangrove mapping and monitoring, broadly covering the application of earth observation satellite data
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