The increasing number of sensor types for terrestrial remote sensing has necessitated supplementary efforts to evaluate and standardize data from the different available sensors. In this study, we assess the potential use of IKONOS, ETM+, and SPOT HRVIR sensors for leaf area index (LAI) estimation in forest stands. In situ measurements of LAI in 28 coniferous and deciduous stands are compared t...

This study presented a MODIS 8-day 1 km evapotranspiration (ET) downscaling method based on Landsat 8 data (30 m) and machine learning approaches. Eleven indicators including albedo, land surface temperature (LST), and vegetation indices (VIs) derived from Landsat 8 data were first upscaled to 1 km resolution. Machine learning algorithms including Support Vector Regression (SVR), Cubist, and Ra...

The purpose of the described research was an attempt to estimate leaf area index (LAI) parameter describing structure vegetation based on Landsat 5TM satellite imagery and field measurements made with use optical plant canopy analyzer. study carried out in north-eastern Poland Biebrza river valley within boundaries National Park during growing season year 2007. There were 13 spectral indices gi...

This paper proposes a technique to extract urban built-up land features from Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM ) imagery taking two cities in southeastern China as examples. The study selected three indices, Normalized Difference Built-up Index (NDBI), Modified Normalized Difference Water Index (MNDWI), and Soil Adjusted Vegetation Index (SAVI) to represent thr...

Interval type-2 fuzzy c-means (IT2FCM) clustering methods for remote-sensing data classification are based on interval type-2 fuzzy sets and can effectively handle uncertainty of membership grade. However, most of these methods neglect the spatial information when they are used in image clustering. The spatial information and spectral indices are useful in remote-sensing data classification. Th...

In context of Bonn Challenge commitment, Pakistan (Khyber Pukhtunkhwa) has implemented forest restoration and afforestation on 0.35 million hectares between 2015–2017. Billion Tree Afforestation Project (BTAP) is an initiative mass to meet the commitment. The current study a pilot evaluate success plantation activities by assessment regeneration, growth performance survival rate plantations rai...

The Ping River, located in northern Thailand, is facing various challenges due to the impacts of climate change, dam operations, and sand mining, leading riverbank erosion deposition. To monitor accretion, this study employs remote sensing GIS technology, utilizing five water indices: Normalized Difference Water Index (NDWI), Modified (MNDWI), Soil-Adjusted Vegetation (SAVI), Ratio (WRI), Autom...

This work aimed to investigate the potential of image-derived indices derived from Sentinel-2/MSI images in volumetric modeling a stand Pinus taeda L. located Bom Retiro, State Santa Catarina. For this purpose, field data forest inventory were used, by fixed area method and simple random sampling with an allocation 18 circular plots 400 m². The remotely comprised orbital image sensor. From imag...