Author

Bannari A

Ottawa University (Retired Professor) - Cited by 4,617 - Remote Sensing - Hyperspectral - Geomatics - Environment Impact Assessment - Climate Change

Biography

Bannari A is a Professor and International consultant at Space Pix-Map International Inc., and he is interested in various fields of Hyperspectral Remote Sensing, Remote Sensing Applications,  Geostatistical Analysis, Environmental Impact Assessment and Climate Change Impacts.
Title
Cited by
Year
Sentinel-MSI VNIR and SWIR bands sensitivity analysis for soil salinity discrimination in an arid landscape
A Bannari, A El-Battay, R Bannari, H RhinaneRemote Sensing 10 (6), 855, 2018201
74
2018
Mapping slight and moderate saline soils in irrigated agricultural land using advanced land imager sensor (EO-1) data and semi-empirical models
A Bannari, AM Guédon, A El-GhmariCommunications in Soil Science and Plant Analysis 47 (16), 1883-1906, 2016201
32
2016
Comparative study among different semi-empirical models for soil salinity prediction in an arid environment using OLI Landsat-8 data
A El-Battay, A Bannari, NA Hameid, AA AbahussainAdvances in Remote Sensing 6 (1), 23-39, 2017201
26
2017
Detection of Areas Associated with Flash Floods and Erosion Caused by Rainfall Storm Using Topographic Attributes, Hydrologic Indices, and GIS
M Bannari, A., Kadhem, G., El-Battay, A., Hameed, N.A. and RouaiGlobal Changes and Natural Disaster Management: Geo-information Technologies …, 201723201
23
2017
Predicting landslide susceptibility based on decision tree machine learning models under climate and land use changes
JPTAB Quoc Bao Pham, Subodh Chandra Pal, Rabin Chakrabortty, Asish Saha ...Geocarto International, 202120202
20
2021
Assessment of land erosion and sediment accumulation caused by runoff after a flash-flooding storm using topographic profiles and spectral indices
A Bannari, G Kadhem, A El-Battay, NA Hameid, M RouaiAdvances in Remote Sensing 5 (4), 315-354, 2016201
19
2016
Salt-affected soil mapping in an arid environment using semi-empirical model and Landsat-OLI data
A Bannari, A El-Battay, N Hameid, F TashtoushAdvances in Remote Sensing 6 (4), 260-291, 2017201
16
2017
Sentinel-MSI and Landsat-OLI Data Quality Characterization for High Temporal Frequency Monitoring of Soil Salinity Dynamic in an Arid Landscape
A Bannari, N Hameid, A Abuelgasim, A El-BattayIEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE …, 2020202
15
2020
11
2021
Comparison of SRTM-V4. 1 and ASTER-V2. 1 for accurate topographic attributes and hydrologic indices extraction in flooded areas
A Bannari, G Kadhem, A El-Battay, N HameidJournal of Earth Science and Engineering 8, 8-30, 2018201
10
2018
Water stress detection as an indicator of red palm weevil attack using worldview-3 data
A Bannari, AMA Mohamed, A El-Battay2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017201
9
2017
Small Islands DEMs and Topographic Attributes Analysis: A Comparative Study among SRTM-V4. 1, ASTER-V2. 1, High Topographic Contours Map and DGPS
A Bannari, G Kadhem, N Hameid, A El-BattayJournal of Earth Science and Engineering 7, 90-119, 2017201
8
2017
Synergy Between Sentinel-MSI and Landsat-OLI to Support High Temporal Frequency for Soil Salinity Monitoring in an Arid Landscape
A BannariResearch Developments in Saline Agriculture; Dagar, J.C. et al. (eds.), 6-93, 2019201
7
2019
Ecological zones degradation analysis in central sudan during a half century using remote sensing and GIS
NAH Mohamed, A Bannari, HM Fadul, S ZakieldeenAdvances in remote sensing 5 (4), 355-371, 20120
6
2016
Potential of WorldView-3 for soil salinity modeling and mapping in an arid environment
A Bannari, SA Shahid, A El-Battay, A Alshankiti, NA Hameid, F Tashtoush2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017201
6
2017
Biophysiological spectral indices retrieval and statistical analysis for red palm weevil stressattack prediction using Worldview-3 data
A Bannari, AMA Mohamed, DR Peddle201 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 20120
6
2016
MAPPING SUBMERGED AQUATIC VEGETATION IN SHALLOW WATER OF ARABIAN GULF USING WATER SPECTRAL INDICES, FIELD OBSERVATIONS AND LANDSAT-OLI DATA
Alkhatlan, A, Bannari, A, Ali, TS, Abahussain, A, Hameid, NIGARSS - 2019, Yokohama, Japan, 302-305, 2019201
6
2019
The Capability of Sentinel-MSI (2A/2B) and Landsat-OLI (8/9) for Seagrass and Algae Species Differentiation using Spectral Reflectance
Bannari Abderrazak, Thamer Salim Ali, Asma AbahussainOcean Science 18 (https://doi.org/10.194/os-18-361-2022), 361-388, 2022202
5
2022