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Haiti Agriculture: Utilizing NASA Earth Observations to Evaluate the Success of Reforestation Practices in HaitiHaiti is one of the world’s most deforested and environmentally degraded countries. Over the past 30 years, the Haiti Reforestation Partnership (HRP) has provided resources, education, and expertise to support reforestation work in Haiti. The HRP has planted over 15 million trees through their partnership with Comprehensive Development Program (CODEP). However, they have yet to conduct a comprehensive analysis of forest stand survival. The NASA DEVELOP team partnered with the HRP to aid their future silvicultural decisions using satellite imagery. Through the creation of the Monitoring of Vegetation Presence (MVP) tool in Google Earth Engine, the team produced a time series showing trends in enhanced vegetation index (EVI) from 1984 to 2021, as well as a habitat suitability map using a general model for all tree species. These provided the partner with visuals to communicate their reforestation efforts and guidance on where to apply their future efforts. The team utilized Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), Landsat 8 Operational Land Imager (OLI), Landsat 9 OLI-2 and Sentinel-2 Multispectral Instrument (MSI) vegetation indices as indicators of stand success over time. The team also incorporated WorldClim bioclimatic variables such as precipitation and temperature, Centre National de L’Information Geo-Spatiale (CNIGS) Airborne Lidar elevation, and ancillary datasets areas suitable for future reforestation efforts. Overall, the time series showed that the demonstration forest increased in EVI at a greater rate than the surrounding area and the habitat model suggested there are 49,000 hectares of suitable habitat for planting using slope, aspect and temperature as predictor variables.
Document ID
20220006165
Acquisition Source
Langley Research Center
Document Type
Other - 2022 Spring DEVELOP technical report
Authors
Kelli Roberts
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Taylor Simkins
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Ilan Bubb
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Nohemi Huanca-Nunez
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Date Acquired
April 21, 2022
Publication Date
May 12, 2022
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
WBS: 970315.02.02.01.08
CONTRACT_GRANT: NNL16AA05C
Distribution Limits
Public
Copyright
Public Use Permitted.
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