Micha Silver

According to our database, Micha Silver authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Corrigendum to "Spatial and spectral analysis of fairy circles in namibia on a landscape scale using satellite image processing and machine learning analysis" [Int. J. Appl. Earth Observ. Geoinform. 121 (2023) 103377].

Klil Noy, Micha Silver, Ondrej Pesek, Hezi Yizhaq, Eugene Marais, Arnon Karnieli

Int. J. Appl. Earth Obs. Geoinformation, 2024

2023

A deep learning approach for automatic identification of ancient agricultural water harvesting systems.

Arti Tiwari, Micha Silver, Arnon Karnieli

Int. J. Appl. Earth Obs. Geoinformation, April, 2023

Spatial and spectral analysis of fairy circles in Namibia on a landscape scale using satellite image processing and machine learning analysis.

Klil Noy, Micha Silver, Ondrej Pesek, Hezi Yizhaq, Eugene Marais, Arnon Karnieli

Int. J. Appl. Earth Obs. Geoinformation, 2023

2022

Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection.

Yi Wang, Chenying Liu, Arti Tiwari, Micha Silver, Arnon Karnieli, Xiao Xiang Zhu, Conrad M. Albrecht

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Improved Gridded Precipitation Data Derived from Microwave Link Attenuation.

Micha Silver, Arnon Karnieli, Erick Fredj

Remote. Sens., 2021

2019

Identifying Vegetation in Arid Regions Using Object-Based Image Analysis with RGB-Only Aerial Imagery.

Micha Silver, Arti Tiwari, Arnon Karnieli

Remote. Sens., 2019

Multispectral Approach for Identifying Invasive Plant Species Based on Flowering Phenology Characteristics.

Tarin Paz-Kagan, Micha Silver, Natalya Panov, Arnon Karnieli

Remote. Sens., 2019

Spatial and Seasonal Patterns in Vegetation Growth-Limiting Factors over Europe.

Arnon Karnieli, Noa Ohana-Levi, Micha Silver, Tarin Paz-Kagan, Natalya Panov, Dani Varghese, Nektarios Chrysoulakis, Antonello Provenzale

Remote. Sens., 2019

2017

An innovative method for determining hydrological calibration parameters for the WRF-Hydro model in arid regions.

Micha Silver, Arnon Karnieli, Hanan Ginat, E. Meiri, Erick Fredj

Environ. Model. Softw., 2017