Salar Saeed Dogar

ORCID: 0000-0001-9750-0578
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About
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Research Areas
  • Smart Agriculture and AI
  • Urban Stormwater Management Solutions
  • Magnetic and Electromagnetic Effects
  • Soil Moisture and Remote Sensing
  • Remote Sensing in Agriculture
  • Soil Geostatistics and Mapping
  • Remote Sensing and Land Use
  • Water resources management and optimization
  • Water-Energy-Food Nexus Studies

Pakistan Agricultural Research Council
2019

Abstract. Accurate delineation of management zones is essential for optimizing resource use and improving yield in precision agriculture. Electromagnetic induction (EMI) provides a rapid, non-invasive method to map soil variability, while the Normalized Difference Vegetation Index (NDVI) obtained with remote sensing captures above-ground crop dynamics. Integrating these datasets may enhance zone but presents challenges data harmonization analysis. This study workflow combining unsupervised...

10.5194/egusphere-2025-827 preprint EN cc-by 2025-02-28

In precision farming, more and methods are being developed used for efficient environmentally friendly farming of agricultural land. Technical solutions rapid mapping soil parameters help to enable field cultivation. Non-invasive methods, such as electromagnetic induction (EMI), advantageous fast mapping. These systems measure the electrical conductivity determination various (e.g. stratification, water content, fertilizer concentration). For a depth-resolving measurement, which...

10.5194/egusphere-egu25-6817 preprint EN 2025-03-14

Cosmic Ray Neutron Sensing (CRNS) is attracting attention in irrigation management. CRNS can non-invasively and accurately measure soil moisture (SM) the root zone at field scale, thus addressing scale logistics issues typical of point-scale sensor networks. are effectively used to inform large pivot systems but most agricultural landscapes Europe elsewhere consist highly diversified small fields. These challenging for as measured signal integrates an area ~200m radius where multiple fields,...

10.5194/egusphere-egu25-12351 preprint EN 2025-03-15

An accurate delineation of management zones that reliably characterizes within-field heterogeneity is essential to optimize resources and improve yields in precision agriculture. Non-invasive hydro-geophysical methods, such as electromagnetic induction (EMI), offer a rapid approach delineating agricultural are based on subsurface soil characteristics influence crop growth. Integrating additional data sources, remote sensing imagery yield maps, can further enhance the quality applicability...

10.5194/egusphere-egu25-9440 preprint EN 2025-03-14

Abstract This study attempts to analyse the status of water availability, consumption and sufficiency in two Himalayan towns – Murree Havellian from Pakistan's Indus Basin, using primary data collected 350 households, 26 town level focus groups key informants. Findings revealed that groundwater is main source on which around 85% households are heavily dependent. Estimates ratio (WSR) show available not sufficient (0.89) meet requirements for Havellian. However, case Murree, (1.92). Taking...

10.2166/wp.2019.012 article EN cc-by Water Policy 2019-05-24

In recent years, the use of Cosmic Ray Neutron Sensing (CRNS) for climate-compatible agriculture has attracted increasing attention, as it allows soil moisture in root zone to be determined continuously and non-invasively at field scale. However, intrinsic integration neutron signal across entire monitored field, possibly beyond, can mask distinct contributions from above-average dry or wet areas. This potentially lead biased observations. strip-irrigated fields, varying amounts water are...

10.5194/egusphere-egu24-7361 preprint EN 2024-03-08

A precise and reliable characterization of intra-field heterogeneity soil properties water content is vital in precision agriculture as these significantly impact crop growth yield. Non-invasive hydrogeophysical methods such electromagnetic induction (EMI) can be used to delineate agricultural management zones that represent areas where field characteristics tend homogeneous have similar on crops. The combination with additional data sources, for example, remote sensing or yield maps, has...

10.5194/egusphere-egu24-16241 preprint EN 2024-03-09
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