|
|
|
|
|
| Bawa, Kamaljit; University of Massachusetts; kamal.bawa@umb.edu; Rose, Joseph; ; joesph.rose@umb.edu; Ganeshaiah, K.N.; ; kng@vsnl.com; Barve, Narayani; ; narayani@atree.org; Kiran, M.C.; ; kiran@atree.org; Umashaanker, R.; ; rus@vsnl.com. |
| We demonstrate for the first time the potential use of satellite imagery to characterize areas of high and low species richness of trees in tropical forests. Our studies, conducted in the Biligiri Rangaswamy hills in the Western Ghats, India, show a high positive correlation between species richness and the Normalized Difference Vegetation Index (NDVI), which is an index of green biomass. We discuss the application of NDVI values for biodiversity assessment and monitoring, as well as for conservation planning. The NDVI is a rough measure of green biomass. |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Western Ghats; Species diversity; Tropical deforestation. |
| Ano: 2002 |
|
| |
|
|
| Vadjunec, Jacqueline M.; Department of Geography, Oklahoma State University; jacqueline.vadjunec@okstate.edu; Rocheleau, Dianne; Graduate School of Geography, Clark University; drocheleau@clarku.edu. |
| Among the strategies to promote sustainable tropical forest development around the world, the Federal Extractive Reserve System of Brazil is widely cited as an exemplary model. It is designed to protect rubber tapper communities, their forests, and their livelihoods while preventing deforestation and conserving biodiversity. In response to changing markets and policies, rubber tappers in the Chico Mendes Extractive Reserve have recently diversified production to include market agriculture and cattle production, precipitating deforestation in the reserve, with the implication of increased ecological degradation compared to the extraction of nontimber forest products (NTFPs). Our remote sensing and forest inventory analyses yield different insights about the... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Biodiversity; Ecological monitoring; Extractive reserves; Land use; Livelihood; Tropical deforestation. |
| Ano: 2009 |
|
| |
|
| |
|
| |
|
| |
|
| |
|
|
| COSTA,Olívia Bueno da; MATRICARDI,Eraldo Aparecido Trondoli; PEDLOWSKI,Marcos Antonio; COCHRANE,Mark Alan; FERNANDES,Luiz Cláudio. |
| ABSTRACT Although soybean production has been increasing in the state of Rondônia in the last decade, soybean planted area has been estimated indirectly using secondary datasets, which has limited understanding of its spatiotemporal distribution patterns. This study aimed to map and analyze spatial patterns of soybean expansion in Rondônia. We developed a classification technique based on Spectral Mixture Analysis (SMA) derived from Landsat imagery and Decision Tree Classification to detect and map soybean plantations in 2000, 2005, 2010, and 2014. The soybean classification map showed 93% global accuracy, 23% omission and 0% of commission errors for soybean crop fields. The greatest increases of soybean cropped area in the state of Rondônia were observed... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Brazilian Amazon; Tropical deforestation; Land-use and land-cover change; Geoprocessing; Agricultural commodities. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672017000100029 |
| |
|
|
|
