Species stratification and upscaling of forest carbon estimates to landscape scale using GeoEye-1 image and lidar data in sub-tropical forests of Nepal
| Autor: | Yogendra K. Karna, Yousif A. Hussin, M.C. Bronsveld, Pema Wangda |
|---|---|
| Přispěvatelé: | Department of Natural Resources, UT-I-ITC-FORAGES, Faculty of Geo-Information Science and Earth Observation |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
010504 meteorology & atmospheric sciences
0211 other engineering and technologies Forestry 02 engineering and technology Stratification (vegetation) Subtropics 01 natural sciences n/a OA procedure ITC-ISI-JOURNAL-ARTICLE General Earth and Planetary Sciences Environmental science Lidar data 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | International journal of remote sensing, 40(20), 7941-7965. Taylor & Francis |
| ISSN: | 0143-1161 |
| Popis: | Aboveground forest biomass and carbon estimation at landscape scale is crucial for implementation of REDD+ programmes. This study aims to upscale the forest carbon estimates using GeoEye-1 image and small footprint lidar data from small areas to a landscape level using RapidEye image. Species stratification was carried out based on the spectral separability curve of GeoEye-1 image, and comparison of mean intensity and mean plot height of the trees from lidar data. GeoEye-1 image and lidar data were segmented using region growing approach to delineate individual tree crowns; and the segmented crowns (CPA) of tree were further used to establish a relationship with field measured carbon and total trees’ height. Carbon stock measured from field, individual tree crown (ITC) segmentation approach and area-based approach (ABA) was compared at plot level using one-way ANOVA and post hoc Tukey comparison test. ITC-based carbon estimates was used to establish a relationship with spectral reflectance of RapidEye image variables (NDVI, RedEdge NDVI, PC1, single band of RedEdge, and NIR) to upscale the carbon at landscape level. One-way ANOVA resulted in a highly significant difference (p-value |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|