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

  title={Current remote sensing approaches to monitoring forest degradation in support of countries measurement, reporting and verification (MRV) systems for REDD+},
  author={Anthea L. Mitchell and Ake Rosenqvist and Brice Mora},
  journal={Carbon Balance and Management},
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 accounted for in national reporting within the frame of UN REDD+. At regional to country scales, methods have been progressively developed to detect and map forest degradation, with these based on multi-resolution optical, synthetic aperture radar (SAR) and/or LiDAR data. However, there is no one single method that can be… 
Detecting Forest Degradation in the Three-North Forest Shelterbelt in China from Multi-Scale Satellite Images
Results of this paper indicated that multi-scale remote sensing data have great potential in detecting regional forest degradation.
Monitoring forest disturbance using change detection on synthetic aperture radar imagery
Although monitoring forest disturbance is crucial to understanding atmospheric carbon accumulation and biodiversity loss, persistent cloud cover, especially in tropical areas, makes detecting forest
Synergizing community-based forest monitoring with remote sensing: a path to an effective REDD+ MRV system
The proposed REDD+ MRV complementary system is the first of its kind and demonstrates the enhancement of information content, accuracy of reporting and reduction in cost and it also allows assessment of the efficacy of community-based forest management and extension to national scale.
CHAPTER 3 Using SAR Data for Mapping Deforestation and Forest Degradation
As a vital natural resource, forests provide a host of ecosystem services, including carbon sequestration, diverse natural habitats for flora and fauna, and they are a key source of food and fiber
Combining conventional ground-based and remotely sensed forest measurements
The world’s natural ecosystems are under pressure due to land conversion and climate change. Forests are a major part of these natural ecosystems and cover up to 30% of the earth’s surface. Trees are
Linking Terrestrial LiDAR Scanner and Conventional Forest Structure Measurements with Multi-Modal Satellite Data
It is demonstrated that SRS variables are sensitive to retrieve structural differences of tropical forests and have the potential to be used to upscale biodiversity relevant field-based forest structure estimates.
A New Field Protocol for Monitoring Forest Degradation
Forest degradation leads to the gradual reduction of forest carbon stocks, function, and biodiversity following anthropogenic disturbance. Whilst tropical degradation is a widespread problem, it is
Estimating Forest Stand Height in Savannakhet, Lao PDR Using InSAR and Backscatter Methods with L-Band SAR Data
Despite limitations of data quality and quantity, the Savannakhet, Lao use case demonstrates the applicability of these techniques utilizing L-band SAR data for estimating FSH in tropical forests and can be used as a springboard for use of L- band data from the future NASA-ISRO SAR (NISAR) mission.


Mapping Tropical Rainforest Canopy Disturbances in 3D by COSMO-SkyMed Spotlight InSAR-Stereo Data to Detect Areas of Forest Degradation
A method to detect areas affected by forest degradation from digital surface models derived from COSMO-SkyMed X-band Spotlight InSAR-Stereo Data and a 90-m resolution Shuttle Radar Topography Mission model are described.
Measurement of Forest Above-Ground Biomass Using Active and Passive Remote Sensing at Large (Subnational to Global) Scales
Within the global forest area, a diverse range of forest types exist with each supporting varying amounts of biomass and allocations to different plant components. At country to continental scales,
Monitoring Reduced Emissions from Deforestation and Forest Degradation (REDD+) : Capabilities of High- Resolution Active Remote Sensing
REDD+ is a climate change mitigation mechanism for tropical forests presently being negotiated under the UNFCCC. It aims to attribute economic value to the carbon stored in forests, and thereby
Mapping tropical forest biomass with radar and spaceborne LiDAR in Lopé National Park, Gabon: Overcoming problems of high biomass and persistent cloud
Spatially-explicit maps of aboveground biomass are essential for calculating the losses and gains in forest carbon at a regional to national level. The production of such maps across wide areas will
Detection of large above-ground biomass variability in lowland forest ecosystems by airborne LiDAR
Quantification of tropical forest above-ground biomass (AGB) over large areas as input for Reduced Emissions from Deforestation and forest Degradation (REDD+) projects and climate change models is
Potential improvement for forest cover and forest degradation mapping with the forthcoming Sentinel-2 program
Abstract. The forthcoming European Space Agency’s Sentinel-2 mission promises to provide high (10 m) resolution optical data at higher temporal frequencies (5 day revisit with two operational
Monitoring forest degradation for a case study in Cambodia– comparison of LANDSAT 8 and SENTINEL-2 imagery –
We use a Normalized Burned Ratio (NBR) differential approach for detecting forest canopy disturbance caused by selective logging in evergreen tropical moist forests of central Cambodia. The general
Quantifying small-scale deforestation and forest degradation in African woodlands using radar imagery
Carbon emissions from tropical land‐use change are a major uncertainty in the global carbon cycle. In African woodlands, small‐scale farming and the need for fuel are thought to be reducing