In red-NIR reflectance space, the Modified Soil Adjusted Vegetation Index (MSAVI) isolines, representing similar vegetation biophysical quantities, are neither convergent to a point nor parallel to each other. Consequently, the treatment of the MSAVI isolines is distinctly different from those of other vegetation index isolines, such as the normalized difference vegetation index (NDVI), the per...

Leaf area index (LAI) is a key biophysical variable that can be used to derive agronomic information for field management and yield prediction. In the context of applying broadband and high spatial resolution satellite sensor data to agricultural applications at the field scale, an improved method was developed to evaluate commonly used broadband vegetation indices (VIs) for the estimation of L...

This study is aimed at demonstrating the feasibility of the large scale LAI inversion algorithms using red and near infrared reflectance obtained from high resolution satellite imagery. Radiances in digital counts were obtained in 10m resolution acquired on cloud free day of August 23, 2007, by the SPOT 5 high resolution geometric (HRG) instrument onmostly temperatehardwood forest located in th...

This research aims to develop a tsunami vulnerability assessment model on land use and cover using information NDVI, NDWI, MDWI, MSAVI, NDBI extracted from sentinel 2 A ASTER satellite images. The optimization algorithms LASSO linear regression. validation test is MSE, ME, RMSE MAE which show that the regression has higher accuracy than LASSO. NDWI interpolation values are 0.00 - (-0.35) MNDWI ...

This paper describes the use of remotely sensed data to measure vegetation variables such as basal area, biomass and stand volume. The objective this research was developed regression models estimate area (BA), aboveground (AGB), volume (SV) using Landsat-based indices. examined indices were SAVI, MSAVI, EVI, NBR, NBR2 NDMI. Regression based on least-squared method several forms equation, i.e.,...

Uncollected trash in the streets and other public areas, placed without regard for drainage systems, that has contaminated water sources near uncontrolled dumps all contribute to a hazardous environment health situation Khulna. The Batiaghata thana area, which contains Rajbandh dump, was analyzed by computing LST, NDVI, SAVI, MSAVI. From low of 23.00°C 1995, is predicted reach high 41.43°C 2020...

Rice has become the leading food commodity in Indonesia, with total production reached +54.60 million tons 2019. However, tended to decrease by around 8% from 2018 2019, while rice consumption increased +1.53 tons. This study aims develop a estimation model using soil-vegetation index transformation (MSAVI and SAVI) soil physical properties, which advantage of being faster, cheaper, more accura...

Accurate estimation of rice biomass and yield estimation are not only important for rice cropping management, but also for quantitative understanding of carbon cycle in agricultural ecosystems. In this study, the fresh biomass is estimated by using broadband indices from multispectral sensor AVNIR-2 on board ALOS platform. A field campaign was carried out during June 2010 in northern part of Ir...

Abstract In precision agriculture, it is possible to use satellite monitoring of fields. Satellite systems allow you get free images with a resolution up 10 m per pixel, which sufficient determine the state vegetation plants on such indicators as normalized index NDVI. However, NDVI indicator already indicates existing problems correction will not help restore lost yield crops, but only helps p...