Results 201 to 210 of about 16,756 (230)

Monitoring of a rice field using landsat-5 TM and landsat-7 ETM+ data

Advances in Space Research, 2003
Abstract Through the research on the application of the multi temporal data acquired with Landsat-5 TM and Landsat-7 ETM+ to monitoring of rice field the following features are clarified Two vegetation indices NDVI (Normalized Difference Vegetation Index) and EVI (Extended Vegetation Index) obtained from Landsat-5 TM data of 7 July 2000 and that from
Y. Oguro, Y. Suga, S. Takeuchi, H. Ogawa, K. Tsuchiya   +4 more
openaire   +1 more source

A robust approach for estimating LAI from Landsat TM/ETM+ imagery

IEEE International Geoscience and Remote Sensing Symposium, 2002
Leaf area index (LAI) is a quantitative measure of vegetation cover and of use in models of carbon, water and energy budgets. The recent availability of well-calibrated coverages of Landsat ETM+ imagery over large areas offers an opportunity for production of LAI estimates at fine spatial resolution.
C Butson, R Fernandes, R Latifovic, W Chen   +3 more
openaire   +1 more source

Multispectral classification of landsat TM images by neural networks

1998
This work presents the results of experiments with the use of artificial neural networks for land cover classification. The goal of this research was to examine the operation of back-propagation neural network and its application in the classification of remotly sensed data. A back-propagation network with one hidden layer is used to classify a Landsat
Marčić, Ivica, Ribarić, Slobodan, Kušan, Vladimir   +2 more
openaire   +2 more sources

A fast atmospheric correction algorithm applied to Landsat TM images

International Journal of Remote Sensing, 1990
Abstract A fast atmospheric correction algorithm for the reflective bands (0·4–2·5/μm) of remote sensing instruments is presented. It proceeds in two steps : (1) calculation of the ground reflectance of each pixel based on precomputed planetary albedo functions for different standard atmospheres, aerosol types and optical depths, or actual atmospheric ...
openaire   +2 more sources

A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter

ISPRS Journal of Photogrammetry and Remote Sensing, 2021
Ruyin Cao, Jin Chen, Licong Liu
exaly  

Researches on Road Recognition in Landsat TM Images

National Remote Sensing Bulletin, 2005
Rong ZHANG, Yong WANG, Rong YANG
openaire   +1 more source

Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity

Remote Sensing of Environment, 2016
David P Roy, S S Kumar
exaly  

Landsat-8: Science and product vision for terrestrial global change research

Remote Sensing of Environment, 2014
Michael A Wulder, R G Allen, Martha C Anderson   +2 more
exaly  

Cost_Effectiveness of Landsat TM Classification by Operations Staff

12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,, 2005
S.-l.R. Kmrad, R.S. Rempel
openaire   +1 more source

The global Landsat archive: Status, consolidation, and direction

Remote Sensing of Environment, 2016
Michael A Wulder, Joanne C White, Thomas R Loveland   +2 more
exaly