When employing remote sensing images, it is challenging to classify vegetation species and
ground objects due to the abundance of wetland vegetation species and the high …

Unmanned aerial vehicle (UAV) equipped with multispectral cameras for remote sensing
(RS) has provided new opportunities for ecological and agricultural related applications for …

The presence of shadows in remotely sensed images can reduce the accuracy of land
surface classifications. Commonly used methods for removing shadows often use multi …

Land use and Land cover (LULC) map** is one of the most important application areas of
remote sensing which requires both spectral and spatial resolutions in order to decrease the …

Monitoring vegetation characteristics and ground cover is crucial to determine appropriate
management techniques in western juniper (Juniperus occidentalis Hook.) ecosystems …

The present study evaluates and compares performance of three supervised classification
algorithms namely Maximum Likelihood (MXL), Artificial Neural Network (ANN) and Support …

This study aims to test the performance of the Rotation Forest (RTF) algorithm in urban and
rural areas that have similar characteristics using unmanned aerial vehicle (UAV) images to …

Soil salt information from unified soil salinity content (SSC) inversion models based on all
samples is insufficient for accurate regional SSC monitoring. Here, a method of building …

Hutan mangrove merupakan ekosistem yang rentan sehingga membutuhkan pemantauan
terus menerus untuk mendeteksi berbagai ancaman seperti aktivitas manusia dan bencana …

This study aims to analyze changes in land cover and mangrove crown density in Langsa
Barat District for the period 2000-2020. The method used in this study is the maximum …