Earth Observing-1 (EO-1) Hyperion images were used to study five globally dominant crops (corn, cotton, rice, soybean, and winter wheat) and their growth stages in the United States, where they occupy about 75% of all the cropland areas occupied by the principal crops. The researchers from USGS (United States Geological Survey) conducted this research to evaluate the suitability of hyperspectral satellite data to estimate the agricultural area under different major crop.
HySIS, the most powerful Indian satellite has been launched on 29 Nov, 2018 by ISRO. ISRO's rocket PSLV-C43 successfully injected into orbit HySIS along with 30 co-passenger satellites from eight countries. It was placed in orbit, precisely 17 minutes and 27 seconds after liftoff from Sriharikota. It is able to detect 55 colors as it has 55 bands. Fig: Artistic rendering of HySIS Why is it more powerful than previous earth observation satellites of India? All previous IRS (In
This study was conducted to understand the behaviour of ten rice genotypes for different water deficit stress levels. The spectroscopic hyperspectral reflectance data in the range of 350–2500 nm was recorded and relative water content (RWC) of plants was measured at different stress levels. Techniques Adopted- The optimal wavebands were identified through spectral indices, multivariate techniques and neural network technique, and prediction models were developed. The new wate
Summary The study was carried out for Indian capital city Delhi using Hyperion sensor onboard EO-1 satellite of NASA. After MODTRAN-4 based atmospheric correction, MNF, PPI and n-D visualizer were applied and endmembers of 11 LCLU classes were derived which were employed in classification of LULC. To incur better classification accuracy, a comparative study was also carried out to evaluate the potential of three classifier algorithms namely Random Forest (RF), Support Vector
Need of Hyperspectral data Advanced analysis of natural resources particularly crops and soil requires high spatial and spectral resolution data to increase producers' sustainability and environmental protection. The studies pertaining to crop growth requires assessment and quantification of biochemical and biophysical attributes. More better spatial resolution cannot provide satisfactory analysis results because of limited number of wavebands in multispectral data. The multi