| Full text | |
| Author(s): |
Total Authors: 2
|
| Affiliation: | [1] Instituto Nacional de Pesquisas Espaciais. Divisão de Sensoriamento Remoto - Brasil
[2] Universidade de São Paulo. Escolas Superior de Agricultura Luiz de Queiroz. Depto. de Engenharia Rural - Brasil
Total Affiliations: 2
|
| Document type: | Journal article |
| Source: | Scientia Agricola; v. 61, n. 3, p. 243-252, 2004-06-00. |
| Abstract | |
Leaf area index (LAI) is an important parameter of the vegetation canopy, and is used, for instance, to estimate evapotranspiration, an important component of the hydrological cycle. This work analyzed the relationship between LAI, measured in field, and NDVI from four dates (derived from Landsat-7/ETM+ data), and with such vegetation index, to generate and analyze LAI maps of the study area for the diverse dates. LAI data were collected monthly in the field with LAI-2000 equipment in stands of sugar cane, pasture, corn, eucalypt, and riparian forest. The relationships between LAI and NDVI were adjusted by a potential model; 57% to 72% of the NDVI variance were explained by the LAI. LAI maps generated by empirical relationships between LAI and NDVI showed reasonable precision (standard error of LAI estimate ranged from 0.42 to 0.87 m² m-2). The mean LAI value of each monthly LAI map was shown to be related to the total precipitation in the three previous months. (AU) | |
| FAPESP's process: | 98/14499-5 - Estimation of leaf area index dynamics in a watershed using remote sensing techniques |
| Grantee: | Alexandre Candido Xavier |
| Support Opportunities: | Scholarships in Brazil - Doctorate |