Paper
18 October 2005 Airborne hyperspectral scanner and laser altimeter data application to water reservoirs and water use calculation: first results on two Italian case study
A. Fais, P. Nino, U. Minelli
Author Affiliations +
Abstract
In the framework of MONIDRI (Development of DSS on water use monitoring and optimisation, based on the integration of calculation and evaluation models) research project (financed on the basis of Italian research Ministry strategic program), two Airborne remote sensing sensors have been experimented. The Compact Airborne Spectrographic Imager (CASI) allows to a very accurate crop recognition. This is specially required in crop water requirements (CWR) calculation, that could change between different varieties of the same cultivation. A significant results has been obtained in Abruzzo region, where the use of CASI allows to recognise different vineyards varieties (red and white). Thanks to the use of this platform it's possible to define clusters of crops with similar WR and spectral firm. These clusters could be used in LANDSAT TM image processing for agricultural water use monitoring. The ALTM1210 (Airborne laser altimeter) allows to produce DEM with extraordinary geometric accuracy (elevation points each 20 cm). In two case studies the ALTM has been utilised to produce DEM with 3 m of geometric resolution. This data have been integrated to a soil erosion calculation model to simulate the future volume losses of artificial lakes for irrigation. The other ALTM application consists of the integrated use of DEM with LANDSAT TM to monitor the seasonal level and surface of irrigation lakes, and to estimate the available volumes on the basis of surfaces/volumes diagrams, according to the lake project data.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Fais, P. Nino, and U. Minelli "Airborne hyperspectral scanner and laser altimeter data application to water reservoirs and water use calculation: first results on two Italian case study", Proc. SPIE 5976, Remote Sensing for Agriculture, Ecosystems, and Hydrology VII, 59760H (18 October 2005); https://doi.org/10.1117/12.627787
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications and 3 patents.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Earth observing sensors

Sensors

Airborne laser technology

Global Positioning System

Landsat

Image classification

Imaging systems

Back to Top