EO‐1 Hyperion, ALI and Landsat 7 ETM+ data comparison for estimating forest crown closure and leaf area index
نویسندگان
چکیده
منابع مشابه
Comparative Analysis of EO-1 ALI and Hyperion, and Landsat ETM+ Data for Mapping Forest Crown Closure and Leaf Area Index
In this study, a comparative analysis of capabilities of three sensors for mapping forest crown closure (CC) and leaf area index (LAI) was conducted. The three sensors are Hyperspectral Imager (Hyperion) and Advanced Land Imager (ALI) onboard EO-1 satellite and Landsat-7 Enhanced Thematic Mapper Plus (ETM+). A total of 38 mixed coniferous forest CC and 38 LAI measurements were collected at Blod...
متن کاملInvestigating relationships between Landsat ETM+ sensor data and leaf area index in a boreal conifer forest
The aim of this paper is to investigate the feasibility of using Landsat ETM+ data for the determination of leaf area index (LAI). The investigation is prompted by the need for obtaining spatially distributed data on LAI to be used as input for carbon modelling of northern boreal forests. Detailed field data have been collected in a coniferous forest area in Uppland, central Sweden, dominated b...
متن کاملA comparison of empirical and neural network approaches for estimating corn and soybean leaf area index from Landsat ETM+ imagery
Plant foliage density expressed as leaf area index (LAI) is used in many ecological, meteorological, and agronomic models, and as a means of quantifying crop spatial variability for precision farming. LAI retrieval using spectral vegetation indices (SVI) from optical remotely sensed data usually requires site-specific calibration values from the surface or the use of within-scene image informat...
متن کاملRetrieving leaf area index for coniferous forest in Xingguo County, China with Landsat ETM+ images.
Spatial distributions of the leaf area index (LAI) needed for carbon cycle modeling in Xingguo County, China were estimated based on correlations between the field-measurements and vegetation indices (VIs). After making geometric and atmospheric corrections to two Landsat ETM+ images, one in January 2000 and the other in May 2003, three VIs (SR, NDVI, and RSR) were derived, and their separate c...
متن کاملComparison of Aviris and Landsat Etm+ for the Estimation of Leaf Area Index
Although there are several parameters of interest in the quantitative aspects of vegetative remote sensing, leaf area index (LAI) has been one of the most useful and important parameters to characterize the vegetation activities from local to global scales. LAI, defined as the sum of the leaf area per unit ground area, can be used to measure the activities (photosynthesis, transpiration, and ev...
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ژورنال
عنوان ژورنال: International Journal of Remote Sensing
سال: 2005
ISSN: 0143-1161,1366-5901
DOI: 10.1080/01431160512331299324