scholarly journals MONITORING OF EGYPTIAN COASTAL LAKES USING REMOTE SENSING TECHNIQUES

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 693-699
Author(s):  
N. S. Donia ◽  
H. Farag
Keyword(s):  
Remote Sensing ◽  
Land Reclamation ◽  
Remote Sensing And Gis ◽  
Fish Production ◽  
Remotely Sensed Data ◽  
Coastal Lakes ◽  
Total Fish ◽  
Remote Sensing Techniques ◽  
Drainage Waters

<p><strong>Abstract.</strong> The Northern Lakes play a significant role in Egyptian economy for fish production in Egypt. Until 1991, these Lakes have always contributed more than 40% of the country's total fish production, but at present this has decreased to less than 12.22% as they serve as reservoirs for drainage waters, which contaminated with anthropogenic materials. Since Remote sensing and GIS are suitable and valuable techniques to identify the rate of land reclamation of the coastal lakes over the last three decades. This was undertaken using different kinds of imagery to employ historical remotely sensed data to reveal the long-term changes in the physical characteristics of the lagoon. This paper explains how remote sensing coupled with GIS can be used for lake monitoring applied on some Egyptian coastal lakes as example.</p>

scholarly journals Comparison of Geostatistical Interpolation and Remote Sensing Techniques for Estimating Long-Term Exposure to Ambient PM 2.5 Concentrations across the Continental United States

2012 ◽  
Vol 120 (12) ◽  
pp. 1727-1732 ◽  
Author(s):  
Seung-Jae Lee ◽  
Marc L. Serre ◽  
Aaron van Donkelaar ◽  
Randall V. Martin ◽  
Richard T. Burnett ◽  
...  
Keyword(s):  
United States ◽  
Remote Sensing ◽  
Pm 2.5 ◽  
Geostatistical Interpolation ◽  
Remote Sensing Techniques

scholarly journals Remote Sensing Applications for Planning Irrigation Management. The Use of SEBAL Methodology for Estimating Crop Evapotranspiration in Cyprus

2012 ◽  
Vol 9 (1) ◽  
pp. 17-21
Author(s):  
George Papadavid ◽  
Skevi Perdikou ◽  
Michalakis Hadjimitsis ◽  
Diofantos Hadjimitsis
Keyword(s):  
Remote Sensing ◽  
Water Allocation ◽  
Surface Energy Balance ◽  
Irrigation Management ◽  
Irrigation Scheduling ◽  
Severe Drought ◽  
Remotely Sensed Data ◽  
Sensing Applications ◽  
Remote Sensing Applications ◽  
Remote Sensing Techniques

Abstract Water allocation to crops has always been of great importance in the agricultural process. In this context, and under the current conditions, where Cyprus is facing a severe drought the last five years, the purpose of this study is basically to estimate the needed crop water requirements for supporting irrigation management and monitoring irrigation on a systematic basis for Cyprus using remote sensing techniques. The use of satellite images supported by ground measurements has provided quite accurate results. Intended purpose of this paper is to estimate the Evapotranspiration (ET) of specific crops which is the basis for irrigation scheduling and establish a procedure for monitoring and managing irrigation water over Cyprus, using remotely sensed data from Landsat TM/ ETM+ and a sound methodology used worldwide, the Surface Energy Balance Algorithm for Land (SEBAL).

Evaluation of long-term shoreline changes between Rasulpur and Subarnarekha estuary, east coast of India using remote sensing and GIS techniques

2021 ◽  
pp. 337-351
Author(s):  
Anindita Nath ◽  
Bappaditya Koley ◽  
Subhajit Saraswati ◽  
Kaushik Bandyopadhyay ◽  
Srabanti Bhattacharya ◽  
...  
Keyword(s):  
Remote Sensing ◽  
East Coast ◽  
Remote Sensing And Gis ◽  
East Coast Of India ◽  
Shoreline Changes ◽  
Gis Techniques

scholarly journals Priority Analysis of Remote Sensing and Geospatial Information Techniques to Water-Related Disaster Damage Reduction for Inter-Korean Cooperation

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Sunmin Lee ◽  
Sung-Hwan Park ◽  
Moung-Jin Lee ◽  
Taejung Song
Keyword(s):  
Remote Sensing ◽  
South Korea ◽  
North Korea ◽  
Spatial Information ◽  
Remote Sensing And Gis ◽  
Geospatial Information ◽  
Radar Images ◽  
Database Construction ◽  
The Social

The social and economic harm to North Korea caused by water-related disasters is increasing with the increase in the disasters worldwide. Despite the improvement of inter-Korean relations in recent years, the issue of water-related disasters, which can directly affect the lives of people, has not been discussed. With consideration of inter-Korean relations, a government-wide technical plan should be established to reduce the damage caused by water-related disasters. Therefore, the purpose of this study was to identify remote sensing and GIS techniques that could be useful in reducing the damage caused by water-related disasters while considering inter-Korean relations and the disasters that occur in North Korea. To this end, based on the definitions of disasters in South and North Korea, water-related disasters that occurred during a 17-year period from 2001 to 2017 in North Korea were first summarized and reclassified into six types: typhoons, downpours, floods, landslides, heavy snowfalls, and droughts. In addition, remote sensing- and GIS-based techniques in South Korea that could be applied to water-related disasters in North Korea were investigated and reclassified according to applicability to the six disaster types. The results showed that remote sensing and other monitoring techniques using spatial information, GIS-based database construction, and integrated water-related disaster management have high priorities. Especially, the use of radar images, such as C band images, has proven essential. Moreover, case studies were analyzed within remote sensing- and GIS-based techniques that could be applicable to the water-related disasters that occur frequently in North Korea. Water disaster satellites with high-resolution C band synthetic aperture radar are scheduled to be launched by South Korea. These results provide basic data to support techniques and establish countermeasures to reduce the damage from water-related disasters in North Korea in the medium to long term.

Remote Sensing as an Aid to the Inventory and Management of Natural Resources

1978 ◽  
Vol 32 (2) ◽  
pp. 183-203
Author(s):  
Robert N. Colwell
Keyword(s):  
Remote Sensing ◽  
Natural Resources ◽  
Fossil Fuels ◽  
The United States ◽  
Agricultural Crops ◽  
Nonrenewable Resources ◽  
Remotely Sensed Data ◽  
Remote Sensing Techniques ◽  
Using Data ◽  
Work Done

An analysis is given of the extent to which modern remote-sensing techniques might be used to facilitate the inventory and management of such renewable natural resources as timber, forage, and agricultural crops and of such nonrenewable resources as minerals and fossil fuels. The first part of the paper seeks to clarify both the terms and the concepts that are applicable to the fast growing field of remote sensing. This is followed by a discussion of the various basic considerations that enter into the acquisition and analysis of remotely sensed data. There is an analysis of both the feasibility and the desirability of using data acquired by LANDSAT and other remote-sensing vehicles in the making of globally uniform inventories of various kinds of natural resources. There follows a tabulation of recent and representative applications and the citing of various references in which additional examples are fully described and well illustrated with remote-sensing imagery. Although the paper may appear to be justifiably optimistic, it concludes with some words of caution on the difficulties that can arise whenever there is an overstatement of remote-sensing capabilities and an understatement of remote-sensing limitations. The numerous specific examples of LANDSAT applications that are given in this paper pertain primarily to work done in Canada and the United States.

scholarly journals Accomplishments of the MUSICA project to provide accurate, long-term, global and high-resolution observations of tropospheric {H<sub>2</sub>O,<i>δ</i>D} pairs – a review

2016 ◽  
Vol 9 (7) ◽  
pp. 2845-2875 ◽  
Author(s):  
Matthias Schneider ◽  
Andreas Wiegele ◽  
Sabine Barthlott ◽  
Yenny González ◽  
Emanuel Christner ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Measurement Techniques ◽  
Remote Sensing Data ◽  
Global Scale ◽  
Horizontal Resolution ◽  
Atmospheric Composition ◽  
Remote Sensing Techniques ◽  
Middle Infrared

Abstract. In the lower/middle troposphere, {H2O,δD} pairs are good proxies for moisture pathways; however, their observation, in particular when using remote sensing techniques, is challenging. The project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water) addresses this challenge by integrating the remote sensing with in situ measurement techniques. The aim is to retrieve calibrated tropospheric {H2O,δD} pairs from the middle infrared spectra measured from ground by FTIR (Fourier transform infrared) spectrometers of the NDACC (Network for the Detection of Atmospheric Composition Change) and the thermal nadir spectra measured by IASI (Infrared Atmospheric Sounding Interferometer) aboard the MetOp satellites. In this paper, we present the final MUSICA products, and discuss the characteristics and potential of the NDACC/FTIR and MetOp/IASI {H2O,δD} data pairs. First, we briefly resume the particularities of an {H2O,δD} pair retrieval. Second, we show that the remote sensing data of the final product version are absolutely calibrated with respect to H2O and δD in situ profile references measured in the subtropics, between 0 and 7 km. Third, we reveal that the {H2O,δD} pair distributions obtained from the different remote sensors are consistent and allow distinct lower/middle tropospheric moisture pathways to be identified in agreement with multi-year in situ references. Fourth, we document the possibilities of the NDACC/FTIR instruments for climatological studies (due to long-term monitoring) and of the MetOp/IASI sensors for observing diurnal signals on a quasi-global scale and with high horizontal resolution. Fifth, we discuss the risk of misinterpreting {H2O,δD} pair distributions due to incomplete processing of the remote sensing products.

Remotely-sensed Data for Natural Resource Models

1986 ◽  
Vol 13 (3) ◽  
pp. 203-210 ◽  
Author(s):  
Jerry C. Ritchie ◽  
Edwin T. Engman
Keyword(s):  
Remote Sensing ◽  
Natural Resource ◽  
Spatial Data ◽  
Model Simulation ◽  
Simulation Models ◽  
Remotely Sensed ◽  
Remotely Sensed Data ◽  
Remote Sensors ◽  
Remote Sensing Techniques ◽  
Spatial And Temporal Characteristics

Attempts to model ecosystems have increased in recent years through the application of systems theory and the improvement in computer capacity and speed. A major problem with these models is providing data for input or validation. A potential source of data is information collected by remote-sensing techniques. Remotely-sensed data can be used in natural resource simulation models to provide spatial and temporal measurements, data for model calibration or validation, and independent feedback to keep the model simulation on track with reality. Remote sensing can provide spatial and temporal measurements of many landscape parameters that could improve our ability to understand and model the spatial and temporal characteristics of landscapes.The challenge for remote-sensing scientists, landscape ecologists, and natural resource modellers, is to determine the most effective way to interpret and use the data from remote sensors in natural resource management. Natural resource models that can fully utilize the spatial data which remote-sensing techniques can provide, will almost certainly improve our understanding of landscapes and our ability to simulate and manage them wisely.

Sign in / Sign up

Export Citation Format

Share Document