In this post, we will use the datasets from UMD (Tree Canopy Cover [TCC] and LOSS layers) to calculate and classify the dynamics of the forest. The TCC is available from 1988 and LOSS layers are available from 1989. Here we will be calculating different forest dynamics. Use the final assemblage using this link or … CONTINUE READING
Month: July 2019
Generating High-Resolution DSM often demands highly accurate data. Among the range of terrestrial and aerial methods available to produce such a dataset, this project tests the utility of images acquired by a fixed-wing, low-cost Unmanned Aerial Vehicle (UAV). The data processing of UAV images has been carried out using the algorithms ranging from classical photogrammetry … CONTINUE READING
Rotation of the forest is defined as the number of forest disturbance events for the year range, with disturbance defined as a drop of Tree Canopy Cover from >=10% to 0%, or the loss from 1 to 0.
The pseudo-code for the rotation map can be written as:
We travel time for 3 years and … CONTINUE READING
With the Google Earth Engine, it’s very easy to calculate the amplitude of any time-series datasets. The amplitude in wave physics is defined as the distance between the high and the low peak as shown in the picture below. Similarly, for any raster datasets for a time series, the amplitude is the difference of the … CONTINUE READING
The primary forest can be mapped in a number of ways. One of them is described here, where the base year 2000 map for the primary forest is used in relation with the forest definitions on tree canopy cover (tcc) and tree canopy height (tch) to calculate the primary forest in each year. Turns … CONTINUE READING
GLAD at UMD provides the primary forest for 2000 which is the base map for most of their analysis. This primary forest consists of natural long-lived forest extent. The mapping and definition for the primary forest are based on the methodology as described in the paper for humid tropical forests and modified to include dry … CONTINUE READING
SERVIR released the Synthetic Aperture Radar (SAR) Handbook which includes the comprehensive methodologies for Forest Monitoring and Biomass Estimation. This handbook contains a collection of state-of-the-art methods and theoretical background to facilitate the use of SAR data for forest monitoring and biomass estimation.
Subject Matter Expert (SME) in SAR, in collaboration with SERVIR, conducted five … CONTINUE READING
As a SERVIR-Mekong, we have been working closely with our Applied Science Team (AST) at The Global Land Analysis and Discovery (GLAD) laboratory in the Department of Geographical Sciences at the University of Maryland led by Dr. Peter Potapov. The annual product on the Tree Cover Canopy (TCC), Tree Cover Height (TCH) and Primary Forest … CONTINUE READING