نمایش نتایج جستجو برای
نام مجله: Remote Sensing
موارد یافت شده: 17
1 - Spatial Prediction of Soil Salinity by Using Remote Sensing and Data Mining Algorithms at Watershed Scale, Northwest Iran (چکیده)2 - Prediction of Antenna Reflection Coefficient in Presence of Multilayer Media: A Fast Spectral Domain Approach (چکیده)
3 - Spatial downscaling of SMAP radiometer soil moisture using radar data: Application of machine learning to the SMAPEx and SMAPVEX campaigns (چکیده)
4 - CALIOP-Based Evaluation of Dust Emissions and Long-Range Transport of the Dust from the Aral−Caspian Arid Region by 3D-Source Potential Impact (3D-SPI) Method (چکیده)
5 - Hyperspectral Image Denoising via Clustering-Based Latent Variable in Variational Bayesian Framework (چکیده)
6 - Detecting degraded, prone and transition ecosystems by environmental thresholds and spectral functions (چکیده)
7 - On the impact of C-band in place of L-band radar for SMAP downscaling (چکیده)
8 - Assessment of land suitability and the possibility and performance of a canola (Brassica napus L.) – soybean (Glycine max L.) rotation in four basins of Golestan province, Iran (چکیده)
9 - Validation of the SMOS Level 1C Brightness Temperature and Level 2 Soil Moisture Data over the West and Southwest of Iran (چکیده)
10 - Hyperspectral image clustering with Albedo recovery Fuzzy C-Means (چکیده)
11 - Investigation the driving forces of land-use change in northeastern Iran: Causes and effects (چکیده)
12 - How Groundwater Level Fluctuations and Geotechnical Properties Lead to Asymmetric Subsidence: A PSInSAR Analysis of Land Deformation over a Transit Corridor in the Los Angeles Metropolitan Area (چکیده)
13 - Energy balance quantification using Landsat 8 images and SAFER algorithm in Mashhad, Razavi Khorasan, Iran (چکیده)
14 - Using the red-near infrared spectral to estimate ground cover based on vegetative indices (چکیده)
15 - Improving Signal Subspace Identification Using Weighted Graph Structure of Data (چکیده)
16 - Agro-ecological zoning for wheat (Triticum aestivum), sugar beet (Beta vulgaris) and corn (Zea mays) on the Mashhad plain, Khorasan Razavi province (چکیده)
17 - Riparian vegetation classification from airborne laser scanning data with an emphasis on cottonwood trees (چکیده)
