Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1590/S1982-21702013000100004 |
Detection of Cannabis sativa plantations in the semi-arid region of Pernambuco State in Brazil based on the analysis of temporal dynamic anomalies of vegetation index derived from SPOT-5 HRG satellite data | |
Lisita, Alessandra1; Sano, Edson Eyji2; Durieux, Laurent3 | |
通讯作者 | Lisita, Alessandra |
来源期刊 | BOLETIM DE CIENCIAS GEODESICAS
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ISSN | 1982-2170 |
出版年 | 2013 |
卷号 | 19期号:1页码:45-64 |
英文摘要 | Cannabis sativa is the most highly demanded illegal drug in the world, even more than amphetamines, cocaine and opiates. In Brazil, one of the strategies to reduce its consumption is the identification and destruction of cultivation. Plantations are identified visually by experienced Brazilian Federal Police agents using helicopters. This study analyzed the potential of the NDVI (Normalized Difference Vegetation Index) derived from temporal series of the SPOT-5 HRG (High Resolution Geometric) images to detect plantations of Cannabis surrounded by the Caatinga vegetation in the semi-arid region of Pernambuco State. Absolute values and multitemporal series of NDVI from two sites used to plant Cannabis and from surrounding natural vegetation were analyzed to find anomalies related to the presence of such plantations. Results showed a strong seasonality of Caatinga phytophysiognomies and heterogeneous spectral pattern of Cannabis sativa. In some cases, Cannabis plantations presented growing patterns higher than the Caatinga vegetation, as a consequence of water and fertilizer supplies; in other, an abrupt decrease of NDVI values, as a consequence of field management practices - soil preparation and harvesting - or destruction. The analysis of dynamics of NDVI allowed detecting Cannabis cultivations from temporal series of SPOT-5 HRG. |
英文关键词 | Remote Sensing NDVI Illicit Drugs |
类型 | Article |
语种 | 葡萄牙语 |
国家 | Brazil ; France |
收录类别 | SCI-E |
WOS记录号 | WOS:000316594800004 |
WOS类目 | Geochemistry & Geophysics ; Remote Sensing |
WOS研究方向 | Geochemistry & Geophysics ; Remote Sensing |
来源机构 | French National Research Institute for Sustainable Development |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/176236 |
作者单位 | 1.Inst Nacl Criminalist, Dept Policia Fed, Area Pericias Meio Ambiente, BR-70610200 Brasilia, DF, Brazil; 2.Embrapa Cerrados, Planaltina, DF, Brazil; 3.IRD, UMR ESPACE DEV 228, F-34093 Montpellier 05, France |
推荐引用方式 GB/T 7714 | Lisita, Alessandra,Sano, Edson Eyji,Durieux, Laurent. Detection of Cannabis sativa plantations in the semi-arid region of Pernambuco State in Brazil based on the analysis of temporal dynamic anomalies of vegetation index derived from SPOT-5 HRG satellite data[J]. French National Research Institute for Sustainable Development,2013,19(1):45-64. |
APA | Lisita, Alessandra,Sano, Edson Eyji,&Durieux, Laurent.(2013).Detection of Cannabis sativa plantations in the semi-arid region of Pernambuco State in Brazil based on the analysis of temporal dynamic anomalies of vegetation index derived from SPOT-5 HRG satellite data.BOLETIM DE CIENCIAS GEODESICAS,19(1),45-64. |
MLA | Lisita, Alessandra,et al."Detection of Cannabis sativa plantations in the semi-arid region of Pernambuco State in Brazil based on the analysis of temporal dynamic anomalies of vegetation index derived from SPOT-5 HRG satellite data".BOLETIM DE CIENCIAS GEODESICAS 19.1(2013):45-64. |
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