This paper presents a new drought assessment method by spatially and temporally integrating temperQ2 ature vegetation dryness index (TVDI) with regional water stress index (RWSI) based on a synergistic approach. With the aid of LANDSAT TM/ETM data, we were able to retrieve the land-use and land-cover (LULC), vegetation indices (VIs), and land surface temperature (LST), leading to the derivation...

Penelitian ini bertujuan untuk mengetahui hubungan parameter pertumbuhan padi dengan data indeks vegetasi citra satelit Landsat 8. dilakukan selama enam bulan dan berlokasi di Kabupaten Klungkung, setiap kemudian dihubungkan padi. Hasil penelitian menunjukkan bahwa pola mengikuti kurve parabolik yang bentuknya dipengaruhi oleh pertumbuhannya. Terdapat erat antara nilai dari Indeks pada seluruh ...

The study of agricultural land uses in karma district relied on a range ideas using modern geographical techniques to build model simulation spatial distribution uses, which used sensor data after key sources detections cover through reliance satellite (Land Sat-8) and (OLI) For 2020, achieve the study's objective, normalized Difference Vegetation Index (NDVI), Normalized Built Up (NDBI), Water...

This study aims to develop a software framework for modeling of tsunami vulnerability using DEM and Sentinel 2 images. The stages study, are: 1) extraction images algorithms NDVI, NDBI, NDWI, MSAVI, MNDWI; 2) prediction vegetation indices machine learning algorithms. 3) accuracy testing the MSE, ME, RMSE, MAE, MPE, MAPE; 4) spatial Kriging function 5) indicators. results show that in 2021 area ...

Green environments are associated with improved child brain development and mental health. We study cross-sectionally the association of availability greenspace at home school obsessive-compulsive behaviors (OCB) in primary schoolchildren. Greenspace tree cover surrounding 378 children aged 9 to 10 Barcelona (Spain) were characterized using satellite-based indices [Normalized Difference Vegetat...

Biomass can indicate plant growth status, so it is an important index for plant growth monitoring. This paper focused on the methodology of estimating the winter wheat biomass based on hyperspectral field data, including the LANDSAT TM and EOS MODIS images. In order to develop the method of retrieving the wheat biomass from remote sensed data, routine field measurements were initiated during pe...

Vegetation coverage has a significant influence on the land surface temperature (LST) distribution. In the field of urban heat islands (UHIs) based on remote sensing, vegetation indexes are widely used to estimate the LST-vegetation relationship. However, little evaluation work has been done on the comparison of the relationship between different vegetation indexes and LST. A Landsat Thematic M...

Nitrogen (N) is important for the growth of crops. Leaf nitrogen content (LNC) serves as a crucial indicator of the growth status of crops and can help determine the dose of N fertilizer. Laser-induced fluorescence (LIF) technology and the reflectance spectra of crops are widely used to detect the biochemical content of leaves. Many vegetation indices (VIs) and fluorescence parameters have been...

Accurate estimation of green aboveground biomass in arid and semiarid grassland is essential for a variety of studies, such as sustainable grassland management, fire risk assessment, climate change, and environmental degradation. A great need exists for the establishment of robust method for estimating green aboveground biomass in arid and semiarid grassland due to the influences of soil backgr...

Rainfall, soil moisture, increasing temperature and changes in vegetation cover are the most important parameters effecting drought. Therefore, analysis of vegetation fraction and soil spectral signature, especially in red and infra red bands, are essential in drought estimation using remote sensing. In this study, Modified Perpendicular Drought Index (MPDI), which uses Vegetation Fraction (VF)...