Amal Muhammad Saleh

Verified email at aol.com

Soil Science and Water Resources
University of Baghdad



                             

https://researchid.co/mhmmdml

EDUCATION

Soil survey, soil mapping, is the process of classifying soil types and other soil properties in a given area and geo-encoding such information. It applies the principles of soil science, and draws heavily from geomorphology, theories of soil formation, physical geography, and analysis of vegetation and land use patterns. Primary data for the soil survey are acquired by field sampling and by remote sensing. Remote sensing principally uses aerial photography, but LiDAR and other digital techniques are steadily gaining in popularity. In the past, a soil scientist would take hard-copies of aerial photography, topo-sheets, and mapping keys into the field with them. Today, a growing number of soil scientists bring a ruggedized tablet computer and GPS into the field with them. The tablet may be loaded with digital aerial photos, LiDAR, topography, soil geodatabases, mapping keys, and more.

RESEARCH INTERESTS

soil survey and Classification

FUTURE PROJECTS

Remote Sensing in Soil Science

Remote sensing techniques and Geographical Information System (GIS) techniques are used to estimate soil types and its spatial distribution with reasonable costs and much better accuracy in very larger earth spaces. Soil erosions were estimated by remote sensing, geographical information system and. In general, remote sensing data were used to create the cover management factor image by land cover classifications, while Geographical Information System tools were used for derive the topographic factor from DEM (Data Elevation Model) data. Remote sensing methods provided perspective for spatial and instantaneous measurement of soil content. Thermal emissions from soils in the region were used to find soil series and sensitivity of the surface. Less amount of water in a soil that emits low amount of microwave radiation. Soil series were calculated by active microwave remote sensing via synthetic aperture radata data. Microwave radiometer widely used for mapping large area soil types.


Applications Invited
Remote Sensing is the process of detecting and monitoring the physical characteristics of an area.

Soil Taxonomy

Soil taxonomy is the system of soil classification used for mapping and classifying soils by the National Cooperative Soil Survey in the United States; it is used in many other countries as well. Soil taxonomy is a hierarchical soil classification system with six categories, or levels: order, suborder, great group, subgroup, family, and series. Soil taxonomy is a morphogenetic soil classification system using diagnostic horizons and features to infer pathways of soil genesis and formation. It employs a unique mnemonic system based on Greek, Latin, or other root words for assigning names to taxonomic classes. Soil orders and suborders are well suited to small-scale maps, illustrating patterns of soil geography for continents or nations. The lower soil classification categories are suited to more detailed soil-mapping efforts, which depict regional and local soil patterns.


Applications Invited
Soil classification is a window into knowledge about soils at a given moment in time.

GIS in Soil Science

The use of GIS in soil mapping is called Digital Soil Mapping (DSM), which involves creating geographically referenced soil databases from spatially explicit environmental features and field surveys. The data that goes into creating these DSM use remote sensing technologies. Prior to the use of remote sensing, traditional soil surveys were entirely field-based and consequently were labor-intensive, time-consuming and expensive. A traditional soil survey would involve soil samples being collected at regular intervals throughout the plot of land. But, with advances in GIS software much can be done without the use of field surveys now. This doesn’t mean traditional soil surveys are not completely done for, as most DSM surveys will require an element of ground-truthing and hands-on data collection. However, the fieldwork is significantly reduced. Today, most soil scientists will go into the field with digital imagery already uploaded onto a rugged tablet or handheld computer.


Applications Invited
Spatial variability is a term indicating changes in the value of a given property over space.
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Scholar Citations

4

Scholar h-index

RECENT SCHOLAR PUBLICATIONS

  • Improving the Accuracy of Land Cover Classification using Sentinel 2 Data and Knowledge Based Classification System in the West of Amara City, Iraq
    AM Saleh
    Journal of the Indian Society of Soil Science 70 (1), 1-9 2022

  • Analyzing Land Use/Land Cover Change using Remote Sensing and GIS in Mosul District, Iraq
    AM Saleh, FW Ahmed
    Annals of the Romanian Society for Cell Biology 25 (3), 4342-4359 2021

  • Spatial Distribution of Vegetative Covers in Baquba District, Diyala Governorate using the Means of Remote Sensing
    MR Sadiq, AM Saleh
    Plant Archives 20 (2), 7161-7166 2020

  • Evaluation of Land Degradation of Mymona Project in Misan Government by using Remote Sensing
    AF Mahdi, AM Saleh
    Plant Archives 20 (1), 1765-1772 2020

  • Spatial Variability of Some Chemical and Physical Soil Properties in Shattaniya Project, Nassiriya, Iraq
    MF Khudhair, AM Saleh, AM Shareef
    Indian Journal of Ecology 47 (12), 177-183 2020

  • Temporal Variability of Land Degradation in Saddha Alhindia District using Remote Sensing (Rs) and Geographical Information Systems (Gis) Techniques
    AA Abbas, AM Saleh
    Plant Archives 20 (1), 2594-2602 2020

  • Land Degradation Evaluation of Mymona Project in Misan Governorate using Multi Criteria Design Maker
    AF Mahdi, AM Salah
    Iraqi Journal of Soil Sciences 19 (1), 85-96 2019

  • Analyzing and Detecting Changes in Land Cover Patterns in Saddha Al-Hindia District using Remote Sensing (RS) and Geographical Information Systems (GIS) Techniques
    AA Abbas, AM Saleh
    Iraqi Journal of Soil Sciences 19 (1), 97-111 2019

  • Applications of Numerical Classification for Some Soils of Al-Hashimiya Project in Babil Province
    AM Saleh
    Iraqi Journal of Agricultural Sciences 50 (2), 567 - 585 2019

  • Spatial Variability Mapping of Some Soil Properties in Jadwal Al_Amir Project/Babylon/Iraq
    AM Saleh
    Journal of the Indian Society of Remote Sensing 46 (9), 1481-1495 2018

  • Hyperspectral Remote Sensing in Characterizing Soil Salinity Severity using SVM Technique:A Case Study of Iraqi Alluvial Plain
    AM Saleh
    Journal of American Science 13 (11), 47 - 64 2017

  • Land Surface Temperature Retrieval of Landsat-8 Data using Split Window Algorithm-A Case Study of Mosul District
    AM Saleh
    Journal of American Science 13 (12), 62 - 75 2017

  • Evaluation of Different Soil Salinity Mapping using Remote Sensing Indicators and Regression Techniques,Basrah, Iraq
    AM Saleh
    Journal of American Science 13 (10), 85 - 97 2017

  • Mineral Composite Assessment of Kerbala District in Iraq By Means of Remote Sensing
    AM Saleh
    IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS) 10 (10), 01 - 28 2017

  • Evaluate Basra Lands For Agricultural Purposes
    SA Mustafa, AM Saleh
    Iraqi Journal of Soil Science 16 (1), 238-248 2016

  • Mineral Composite Assessment of Al-Hindiya in Iraq By Means of Remote Sensing
    AM Saleh
    IOSR Journal of Applied Geology and Geophysics (IOSR-JAGG) 4 (1), 69 - 92 2016

  • Relationship Between Vegetation Indices of Landsat-7 ETM+, MSS Data and Some Soil Properties: Case Study of Baqubah, Diyala, Iraq
    AM Saleh
    IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS) 8 (2), 18 - 31 2015

  • Classification of Some Iraqi Soils using Discriminant Analysis
    AS Muhameed, AM Saleh
    IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS) 7 (1), 31 - 39 2014

  • Classification of Some Iraqi Soils using One of the Methods Proposed in the Agglomerative Hierarchical Clustering
    AS Muhameed, AM Saleh
    Iraqi Journal of Agricultural Sciences 43 (special issue-4), 1-14 2013

  • Spatial Variability Analysis of Selected Soil Properties at Musayab, Babil, Iraq
    AS Muhameed, AM Saleh
    IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS) 6 (3), 72 - 79 2013

MOST CITED SCHOLAR PUBLICATIONS

  • Classification of Some Iraqi Soils using Discriminant Analysis
    AS Muhameed, AM Saleh
    IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS) 7 (1), 31 - 39 2014
    Citations: 9

  • Spatial Variability Mapping of Some Soil Properties in Jadwal Al_Amir Project/Babylon/Iraq
    AM Saleh
    Journal of the Indian Society of Remote Sensing 46 (9), 1481-1495 2018
    Citations: 8

  • Applications of Numerical Classification for Some Soils of Al-Hashimiya Project in Babil Province
    AM Saleh
    Iraqi Journal of Agricultural Sciences 50 (2), 567 - 585 2019
    Citations: 6

  • Evaluation of Different Soil Salinity Mapping using Remote Sensing Indicators and Regression Techniques,Basrah, Iraq
    AM Saleh
    Journal of American Science 13 (10), 85 - 97 2017
    Citations: 4

  • Analyzing Land Use/Land Cover Change using Remote Sensing and GIS in Mosul District, Iraq
    AM Saleh, FW Ahmed
    Annals of the Romanian Society for Cell Biology 25 (3), 4342-4359 2021
    Citations: 3

  • Spatial Variability Analysis of Selected Soil Properties at Musayab, Babil, Iraq
    AS Muhameed, AM Saleh
    IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS) 6 (3), 72 - 79 2013
    Citations: 3

  • Hyperspectral Remote Sensing in Characterizing Soil Salinity Severity using SVM Technique:A Case Study of Iraqi Alluvial Plain
    AM Saleh
    Journal of American Science 13 (11), 47 - 64 2017
    Citations: 2

  • Evaluation of Land Degradation of Mymona Project in Misan Government by using Remote Sensing
    AF Mahdi, AM Saleh
    Plant Archives 20 (1), 1765-1772 2020
    Citations: 1

  • Land Degradation Evaluation of Mymona Project in Misan Governorate using Multi Criteria Design Maker
    AF Mahdi, AM Salah
    Iraqi Journal of Soil Sciences 19 (1), 85-96 2019
    Citations: 1

  • Land Surface Temperature Retrieval of Landsat-8 Data using Split Window Algorithm-A Case Study of Mosul District
    AM Saleh
    Journal of American Science 13 (12), 62 - 75 2017
    Citations: 1

  • Relationship Between Vegetation Indices of Landsat-7 ETM+, MSS Data and Some Soil Properties: Case Study of Baqubah, Diyala, Iraq
    AM Saleh
    IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS) 8 (2), 18 - 31 2015
    Citations: 1

  • Classification of Some Iraqi Soils using One of the Methods Proposed in the Agglomerative Hierarchical Clustering
    AS Muhameed, AM Saleh
    Iraqi Journal of Agricultural Sciences 43 (special issue-4), 1-14 2013
    Citations: 1