A Simple Algorithm for Large-Scale Mapping of Evergreen Forests in Tropical America, Africa and Asia
Open Access
- 11 August 2009
- journal article
- research article
- Published by MDPI AG in Remote Sensing
- Vol. 1 (3), 355-374
- https://doi.org/10.3390/rs1030355
Abstract
The areal extent and spatial distribution of evergreen forests in the tropical zones are important for the study of climate, carbon cycle and biodiversity. However, frequent cloud cover in the tropical regions makes mapping evergreen forests a challenging task. In this study we developed a simple and novel mapping algorithm that is based on the temporal profile analysis of Land Surface Water Index (LSWI), which is calculated as a normalized ratio between near infrared and shortwave infrared spectral bands. The 8-day composites of MODIS Land Surface Reflectance data (MOD09A1) in 2001 at 500-m spatial resolution were used to calculate LSWI. The LSWI-based mapping algorithm was applied to map evergreen forests in tropical Africa, America and Asia (30°N–30°S). The resultant maps of evergreen forests in the tropical zone in 2001, as estimated by the LSWI-based algorithm, are compared to the three global forest datasets [FAO FRA 2000, GLC2000 and the standard MODIS Land Cover Product (MOD12Q1) produced by the MODIS Land Science Team] that are developed through complex algorithms and processes. The inter-comparison of the four datasets shows that the area estimate of evergreen forest from the LSWI-based algorithm fall within the range of forest area estimates from the FAO FRA 2000, GLC2000 and MOD12Q1 at a country level. The area and spatial distribution of evergreen forests from the LSWI-based algorithm is to a large degree similar to those of the MOD12Q1 produced by complex mapping algorithms. The results from this study demonstrate the potential of the LSWI-based mapping algorithm for large-scale mapping of evergreen forests in the tropical zone at moderate spatial resolution.Keywords
This publication has 44 references indexed in Scilit:
- Estimation of tree cover using MODIS data at global, continental and regional/local scalesInternational Journal of Remote Sensing, 2005
- GLC2000: a new approach to global land cover mapping from Earth observation dataInternational Journal of Remote Sensing, 2005
- Detecting Long-term Global Forest Change Using Continuous Fields of Tree-Cover Maps from 8-km Advanced Very High Resolution Radiometer (AVHRR) Data for the Years 1982?99Ecosystems, 2004
- A new land‐cover map of Africa for the year 2000Journal of Biogeography, 2004
- A land cover map of South AmericaGlobal Change Biology, 2004
- Towards an operational MODIS continuous field of percent tree cover algorithm: examples using AVHRR and MODIS dataRemote Sensing of Environment, 2002
- Determination of Deforestation Rates of the World's Humid Tropical ForestsScience, 2002
- A new land cover map of central Africa derived from multi-resolution, multi-temporal AVHRR dataInternational Journal of Remote Sensing, 1998
- The IGBP-DIS global 1km land cover data set, DISCover: First resultsInternational Journal of Remote Sensing, 1997
- African Land-Cover Classification Using Satellite DataScience, 1985