- Remote Sensing in Agriculture
- Spectroscopy and Chemometric Analyses
- Leaf Properties and Growth Measurement
- Land Use and Ecosystem Services
- Soil and Land Suitability Analysis
- Remote Sensing and Land Use
- Date Palm Research Studies
- Remote-Sensing Image Classification
- Remote Sensing and LiDAR Applications
- Berry genetics and cultivation research
- Plant Pathogens and Fungal Diseases
- Urban Heat Island Mitigation
- Phytochemistry and Biological Activities
- Seed and Plant Biochemistry
- Insect Pest Control Strategies
- Mycotoxins in Agriculture and Food
- Hydrology and Watershed Management Studies
- Environmental and Agricultural Sciences
- Plant Disease Management Techniques
- Soil Geostatistics and Mapping
- Plant Physiology and Cultivation Studies
- Flood Risk Assessment and Management
- Irrigation Practices and Water Management
- Growth and nutrition in plants
- Greenhouse Technology and Climate Control
National Authority for Remote Sensing and Space Sciences
2012-2023
Ability to make yield prediction before harvest using satellite remote sensing is important in many aspects of agricultural decision-making. In this study, canopy reflectance band and different ratios form vegetation indices (VI) with leaf area index (LAI) were used generate remotely sensed pre-harvest empirical rice models. LAI measurements, spectral data derived from two SPOT acquired on August 24, 2008 23, 2009 observed as main inputs for modeling. Each factor was separately combination...
Introduction Precision farming is an agricultural management practice that addresses various challenges by observing and measuring the variability of field crops, utilizing accurate timely information about resources. A fundamental aspect precision use site-specific zones (SSMZs). SSMZs improve customizing treatments for specific production zones, thereby conserving resources while enhancing crop productivity quality. This research aimed to investigate application magnesium fertilizer in...
The objective of the current work is to generate statistical empirical rice yield estimation models under local conditions Egyptian Nile delta. methodology based on regressing measured with satellite derived spectral information or leaf area index (LAI). LAI field measurements and from SPOT data collected during two crop seasons are examined against models. Near-infrared red bands, six vegetation indices 100 points used as main inputs for modeling process while 20 same validation process....
A research project was conducted as collaboration between the National Authority for Remote Sensing and Space Sciences (NARSS) in Egypt Institute of Applications (IRSA), Chinese Academy Sciences. The objective this study is to generate normalized difference vegetation index (NDVI)–leaf area (LAI) statistical inversion models three rice varieties planted (Giza-178, Sakha-102, Sakha-104) using data two growing seasons. Field observations were carried out collect LAI field measurements during...
Crop discrimination through satellite imagery is still problematic. Accuracy of crop classification for high spatial resolution in the intensively cultivated lands Egyptian Nile delta low. Therefore, main objective this research to determine optimal hyperspectral wavebands spectral range (400 - 2500 nm) discriminate between two winter crops (Wheat and Clover) summer (Maize Rice). This considered as a first step improve areas Egypt. Hyperspectral ground measurements ASD field Spec3...
Mediterranean Fruit Fly, Ceratitis capitata (Diptera: Tephritidae) is regarded as an important pest of orange (Citrus). Early detection infestations enables the optimal application preventative and control measures. This study was carried out under laboratory conditions, in order to predict monitor infestations. Consequently, scope find a remote sensing that can help prediction Fly infestation oranges with least loss production. Spectroscopic thermal imaging techniques were investigated,...
Land cover map of North Sinai was produced based on the FAO-Land Cover Classification System (LCCS) 2004. The standard FAO classification scheme provides a standardized system that can be used to analyze spatial and temporal land variability in study area. This approach also has advantage facilitating integration mapping products included with regional global datasets. total area is covering 20,310.4 km2 (203,104 hectare). landscape SPOT4 data acquired 2011 using combined multispectral bands...
Botrytis cinerea affects plant yield and quality. Many species are morphologically similar leading to difficulty in pathogen identification. Spectroscopy can be used identify pathogenic fungi. This study describes a novel method for fungal characterization. Here, we determined the spectral signatures of different B. isolates as well various genera. A unique pattern was investigated at both genus isolate level. The short wave infrared II (2055 - 2315 nm) provided best discrimination between...
Background and Objective: Gray mold is a serious problem in strawberry production worldwide.Early diagnostic of diseased fruits allows export decision.The aim the study was to test capability spectral measurement for detecting asymptomatic Botrytis infection.Materials Methods: Asymptomatic symptomatic samples 25 were measured gray using two reliable systems, qPCR spectroradiometer, detect causal pathogen, cinerea.Results: Molecular results showed presence many fruits.Moreover, analysis...
Foliar feeding has been confirmed to be the fastest way of dealing with nutrient deficiencies and increasing yield quality crop products. The synthesis chlorophyll photosynthesis are directly related magnesium (Mg), which operates in improvement plant tissues enhances appearance plants. This study aimed analyze correlation between two biophysical variables, including leaf area index (LAI), fraction absorbed photosynthetically active radiation (FAPAR), seven spectral vegetation indices....
Leaf area index (LAI) is a factor for vegetative growth parameter. It defined as leaf per unit of ground and could be used linkage between plant biophysical, biochemical spectroscopic parameters. In this research, direct laboratory LAI measurements were tested versus different in situ field parameters including derived from LAI-2000 canopy analyzer six hyperspectral vegetation indices (VIs) (normalized difference (NDVI), chlorophyll (CHI), photochemical reflectance (PRI), triangular (TVI),...
Remote sensing satellite imagery is the tool to obtain synoptic, multi-temporal, dynamic and timely efficient information about any target on Earth. The main objective of current study use remote data field spectral reflectance measurements identify pattern different cultivars olives statistically correlate this with crop productivity. was carried out in El-Beheira governorate (Wadi El Natrun) city during whole year 2014. three observed varieties were Picual, Manzanillo Kalamata....
Early detection of pest infestation is essential for determining the optimal time control application. Many studies indicated effectiveness remote sensing technology as a tool to identify plants stressed by infestation. In current study, we observed using hyper spectral remotely sensed data discrimination between healthy and infested plants. Three arid-land were selected in study: sweet almond, citrus lemon trees olives. As first step analysis, reflectance pattern three infected was...
Rice is an essential crop for national food security in Egypt. Increasing the population calls regular increases rice production. At same time, cultivated areas should be decreased because of gradual scarcity irrigation water. This means more production gained from less area. situation annual accurate system monitoring and yield estimation. Therefore, it necessary to apply a remotely sensed based cultivation assessment using satellite imagery parallel with field measurements some biophysical...
Land cover map for a part of North Sinai was produced using the FAO—Land Cover Classification System (LCCS) 2004. The standard FAO classification scheme provides standardized system that can be used to analyze spatial and temporal land variability in study area. This approach also has advantage facilitating integration mapping products included with regional global datasets. total area is 7450 km2 (1,773,842) feddans. landscape performed on SPOT4 data acquired 2011 combined multi-spectral...