TY - JOUR
T1 - A new land cover map of central africa derived from multi-resolution, multi-temporal avhrr data
AU - Laporte, N. T.
AU - Goetz, S. J.
AU - Justice, C. O.
AU - Heinicke, M.
N1 - Funding Information:
This work was supportebdy a grant from USAID via tehBiodiversitSyupport Program (BSP/CAR)PE Project (ht:t//caprpe.egcp.ivrginia.deu). The Landsat Path® nderProjectprovidedtehLandsatMSSdat(waww.niform.egog.deu/tropicl),a and tehTREES projecprtovided tehHRPT maps for tehCentalrAfricn Raepublic, Congo and Gabon. Wealsoacknowledge Emma Underwood (WWF) andJake Brunne(WrRI) for teihr assistnca. e
PY - 1998/12
Y1 - 1998/12
N2 - We describe a new map of the central Africa region that was derived from National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer (NOAA AVHRR) observations using a fusion of Local Area Coverage (LAC, 1 km), Global Area Coverage (GAC, 8 km), and ancillary information. The land cover map, produced for the Central Africa Regional Program for the Environment (CARPE), offers a synoptic view of the extent of central African dense humid forests, at relatively fine spatial resolution. Land cover types include dense humid forest, disturbed or degraded forest and various savanna classes. Ancillary information includes political and park boundaries, settlements, rivers and roads. Map validation was performed using a combination of field visits and finer resolution imagery (Landsat Multi-Spectral Scanner (MSS)). Forest cover type mapping errors were at most 20 per cent. The resulting map is useful for addressing a number of resource management issues, a few of which are examined.
AB - We describe a new map of the central Africa region that was derived from National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer (NOAA AVHRR) observations using a fusion of Local Area Coverage (LAC, 1 km), Global Area Coverage (GAC, 8 km), and ancillary information. The land cover map, produced for the Central Africa Regional Program for the Environment (CARPE), offers a synoptic view of the extent of central African dense humid forests, at relatively fine spatial resolution. Land cover types include dense humid forest, disturbed or degraded forest and various savanna classes. Ancillary information includes political and park boundaries, settlements, rivers and roads. Map validation was performed using a combination of field visits and finer resolution imagery (Landsat Multi-Spectral Scanner (MSS)). Forest cover type mapping errors were at most 20 per cent. The resulting map is useful for addressing a number of resource management issues, a few of which are examined.
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U2 - 10.1080/014311698213803
DO - 10.1080/014311698213803
M3 - Article
AN - SCOPUS:0032450611
SN - 0143-1161
VL - 19
SP - 3537
EP - 3550
JO - International Journal of Remote Sensing
JF - International Journal of Remote Sensing
IS - 18
ER -