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] Optical remotely sensed time series data for land cover classification: A review

C Gómez, JC White, MA Wulder - ISPRS Journal of photogrammetry and …, 2016 - Elsevier
Accurate land cover information is required for science, monitoring, and reporting. Land
cover changes naturally over time, as well as a result of anthropogenic activities. Monitoring …

Machine learning classification of mediterranean forest habitats in google earth engine based on seasonal sentinel-2 time-series and input image composition …

S Praticò, F Solano, S Di Fazio, G Modica - Remote sensing, 2021 - mdpi.com
The sustainable management of natural heritage is presently considered a global strategic
issue. Owing to the ever-growing availability of free data and software, remote sensing (RS) …

[HTML][HTML] Landsat-8: Science and product vision for terrestrial global change research

DP Roy, MA Wulder, TR Loveland… - Remote sensing of …, 2014 - Elsevier
Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution
measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short …

[HTML][HTML] A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series

JC White, MA Wulder, T Hermosilla, NC Coops… - Remote Sensing of …, 2017 - Elsevier
In the context of complex demands on forest resources and climate change, synoptic and
spatially-explicit baseline data characterizing national trends in forest disturbance and …

Current remote sensing approaches to monitoring forest degradation in support of countries measurement, reporting and verification (MRV) systems for REDD+

AL Mitchell, A Rosenqvist, B Mora - Carbon balance and management, 2017 - Springer
Forest degradation is a global phenomenon and while being an important indicator and
precursor to further forest loss, carbon emissions due to degradation should also be …

Forest monitoring using Landsat time series data: A review

A Banskota, N Kayastha, MJ Falkowski… - Canadian Journal of …, 2014 - Taylor & Francis
Unique among Earth observation programs, the Landsat program has provided continuous
earth observation data for the past 41 years. Landsat data are systematically collected and …

Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics

T Hermosilla, MA Wulder, JC White, NC Coops… - Remote Sensing of …, 2015 - Elsevier
The examination of annual, gap-free, surface reflectance, image composites over large
areas, made possible by free and open access to Landsat imagery, allows for the capture of …

Including land cover change in analysis of greenness trends using all available Landsat 5, 7, and 8 images: A case study from Guangzhou, China (2000–2014)

Z Zhu, Y Fu, CE Woodcock, P Olofsson… - Remote sensing of …, 2016 - Elsevier
Remote sensing has proven a useful way of evaluating long-term trends in vegetation
“greenness” through the use of vegetation indices like Normalized Differences Vegetation …

Forest change detection in incomplete satellite images with deep neural networks

SH Khan, X He, F Porikli… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Land cover change monitoring is an important task from the perspective of regional resource
monitoring, disaster management, land development, and environmental planning. In this …