Estimation of Forest Area and Canopy Cover Based on Visual Interpretation of Satellite Images in Ethiopia
| Autor: | Habitamu Taddese, Erik Næsset, Zerihun Asrat, Hans Ole Ørka, Ingunn Burud, Terje Gobakken |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Canopy
010504 meteorology & atmospheric sciences 0211 other engineering and technologies 02 engineering and technology Land cover 01 natural sciences lcsh:Agriculture land cover Deforestation design-based inference Bootstrapping (statistics) 021101 geological & geomatics engineering 0105 earth and related environmental sciences Nature and Landscape Conservation Remote sensing Global and Planetary Change Ecology Land use estimation lcsh:S land use Vegetation visual interpretation Sample size determination Environmental science Satellite high resolution imagery |
| Zdroj: | Land Volume 7 Issue 3 Land, Vol 7, Iss 3, p 92 (2018) |
| ISSN: | 2073-445X |
| DOI: | 10.3390/land7030092 |
| Popis: | Forests, particularly in the tropics, are suffering from deforestation and forest degradations. The estimation of forest area and canopy cover is an essential part of the establishment of a measurement, reporting, and verification (MRV) system that is needed for monitoring carbon stocks and the associated greenhouse gas emissions and removals. Information about forest area and canopy cover might be obtained by visual image interpretation as an alternative to expensive fieldwork. The objectives of this study were to evaluate different types of satellite images for forest area and canopy cover estimation though visual image interpretation, and assess the influence of sample sizes on the estimates. Seven sites in Ethiopia with different vegetation systems were subjectively identified, and visual interpretations were carried out in a systematical design. Bootstrapping was applied to evaluate the effects of sample sizes. The results showed that high-resolution satellite images (&le 5 m) (PlanetScope and RapidEye) images produced very similar estimates, while coarser resolution imagery (10 m, Sentinel-2) estimates were dependent on forest conditions. Estimates based on Sentinel-2 images varied significantly from the two other types of images in sites with denser forest cover. The estimates from PlanetScope and RapidEye were less sensitive to changes in sample size. |
| Databáze: | OpenAIRE |
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