Kekritisan Lingkungan merupakan rasio suhu permukaan tanah dengan ketersediaan tutupan vegetasi di sebuah area. Jika area terbilang tinggi dan terdapat sedikit pada tersebut, maka tersebut kualitas lingkungan yang rendah atau kritis. Faktor utama terjadinya kekritisan adalah telah fenomena Urban Heat Island. Kota Bandung Ibu Provinsi Jawa Barat kota kepadatan penduduk tertinggi Barat. Fenomena ...

O Sertão Pernambucano é caracterizado por longos períodos de secas, com um regime pluviométrico inconstante e irregular, dificultando o desenvolvimento socioeconômico da região. Neste contexto a aplicação técnica Sensoriamento Remoto utilizando imagens georreferenciadas destaca-se pela relevância no monitoramento análise variação cobertura vegetal do suprimento hídrico nos reservatórios Este es...

The Tibetan Plateau, the world’s largest orogenic plateau, hosts thousands of lakes that play a prominent role as water resources, environmental archives, and sources of natural hazards such as glacier lake outburst floods. Previous studies reported that the size of the lakes on the Tibetan Plateau has been changing rapidly in recent years, possibly because of contemporary global warming. Track...

We obtained sixteen clear-sky remote sensing images of Landsat series data from 1973 to 2021 and extracted continental island coastlines the Salween River Delta based on Modified Normalized Difference Water Index (MNDWI) visual interpretation correction. determined overall evolution with statistical superposition analysis applied Digital Shoreline Analysis System (DSAS) summarize spatial tempor...

Nowadays measuring national and regional development primarily relies on demographic socio-economic indicators. An indicator in physical dimension e.g., areas of human settlements their economic uses lands is usually ignored due to unavailability data countries like Thailand. Remotely-sensed derived built-up area was used, for the first time, as a studying Thailand’s development. Remote sensing...

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 ...

The mixed pixel of low-resolution remote-sensing image makes the traditional water extraction method not effective for small body extraction. This study takes Loess Plateau with complex terrain as research area and develops a multi-index fusion threshold segmentation algorithm (MFTSA) large-scale based on GEE (Google Earth Engine). MFTSA uses AWEI (automated index), MNDWI (modified normalized d...

The Earth Observation (EO) domain can provide valuable information products that significantly reduce the cost of mapping flood extent and improve accuracy monitoring systems. In this study, Landsat 5, 7, 8 were utilized to map inundation areas. Google Engine (GEE) was used implement Flood Mapping Algorithm (FMA) process data. FMA relies on developing a “data cube”, which is spatially overlappe...

Küresel ısınmaya bağlı olarak meydana gelen iklim değişikliği yağışların ve sıcaklıkların düzensizleşmesine sebep olmaktadır. Bu nedenle sosyoekonomik açıdan küresel ölçekte büyük öneme sahip kıyı alanlarında hızlı değişimler gelmektedir. Kıyı alanlarındaki uzun süreli değişimlerin izlenmesi için kullanılan yöntemlerden birisi uzaktan algılama yöntemidir. NASA USGS tarafından sağlanan Landsat u...

Open surface water bodies play an important role in agricultural and industrial production, and are susceptible to climate change and human activities. Remote sensing data has been increasingly used to map open surface water bodies at local, regional, and global scales. In addition to image statistics-based supervised and unsupervised classifiers, spectral indexand threshold-based approaches ha...