Satellite remote sensing to support management of irrigation systems: concepts and approaches

Ambast, S.K.; Keshari, Ashok K.; Gosain, A. K.

doi:10.1002/ird.26

Cited by 42 publications

(28 citation statements)

References 54 publications

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“…Several studies have been conducted on how to map agricultural areas [7][8][9][10][11][12] using advanced techniques in satellite image analysis. However, mapping of irrigated areas proved to be a challenge due to the diverse range of irrigated plot sizes, crops and water sources used by farmers [13,14].…”

Section: Introductionmentioning

confidence: 99%

Mapping Irrigated Areas of Ghana Using Fusion of 30 m and 250 m Resolution Remote-Sensing Data

et al. 2011

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Maps of irrigated areas are essential for Ghana's agricultural development. The goal of this research was to map irrigated agricultural areas and explain methods and protocols using remote sensing. Landsat Enhanced Thematic Mapper (ETM+) data and time-series Moderate Resolution Imaging Spectroradiometer (MODIS) data were used to map irrigated agricultural areas as well as other land use/land cover (LULC) classes, for Ghana. Temporal variations in the normalized difference vegetation index (NDVI) pattern obtained in the LULC class were used to identify irrigated and non-irrigated areas. First, the temporal variations in NDVI pattern were found to be more consistent in long-duration irrigated crops than with short-duration rainfed crops due to more assured water supply for irrigated areas. Second, surface water availability for irrigated areas is dependent on shallow dug-wells (on river banks) and dug-outs (in river bottoms) that affect the timing of crop sowing and growth stages, which was in turn reflected in the seasonal NDVI pattern. A decision tree approach using Landsat 30 m one time data fusion with MODIS 250 m OPEN ACCESSRemote Sens. 2011, 3 817 time-series data was adopted to classify, group, and label classes. Finally, classes were tested and verified using ground truth data and national statistics. Fuzzy classification accuracy assessment for the irrigated classes varied between 67 and 93%. An irrigated area derived from remote sensing (32,421 ha) was 20-57% higher than irrigated areas reported by Ghana's Irrigation Development Authority (GIDA). This was because of the uncertainties involved in factors such as: (a) absence of shallow irrigated area statistics in GIDA statistics, (b) non-clarity in the irrigated areas in its use, under-development, and potential for development in GIDA statistics, (c) errors of omissions and commissions in the remote sensing approach, and (d) comparison involving widely varying data types, methods, and approaches used in determining irrigated area statistics using GIDA and remote sensing. Extensive field campaigns to help in better classification and validation of irrigated areas using high (30 m ) to very high (<5 m) resolution remote sensing data that are fused with multi temporal data like MODIS are the way forward. This is especially true in accounting for small yet contiguous patches of irrigated areas from dug-wells and dug-outs.

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Section: Introductionmentioning

confidence: 99%

Mapping Irrigated Areas of Ghana Using Fusion of 30 m and 250 m Resolution Remote-Sensing Data

et al. 2011

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“…Thus, the use of irrigation water plays a significant part in increasing land productivity (Ahmad et al, 2008). According to Azzali et al (2001), the spreading of modeling techniques using distributed parameters has largely encouraged the use of input data from remote sensing with the support of GIS systems for manipulating large data sets in irrigation water management, while Menteti et al (1989), D'Urso et al (1992), Bastiaanssen (2000), Ambast et al (2006) and have indicated the potentiality of multispectral satellite images for the appraisal of irrigation management. Estimation of crop water parameters using remote sensing techniques is an expanding research field and development trends have been progressing since 1970s (Jackson et al, 1977;Seguin and Itier, 1983).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The integration of remotely sensed data with auxiliary ground truth data for obtaining better results is common in literature. (Bastiaanssen et al, 1998;Bastiaanssen et al, 2003;Ambast et al, 2006;Minaccapili et al, 2008). It is considered that the resolution in time and space of remotely sensed data is vital in water management (Schultz et al, 2001).…”

Section: Literature Reviewmentioning

confidence: 99%

Monitoring and determination of irrigation demand in Cyprus

2013

Global NEST Journal

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This technical paper describes and interprets the main results of an original research project, which integrates technological tools for developing a complete system for monitoring and determining irrigation demand on a systematic basis in Cyprus. More specifically, the main contribution of this paper consists in the estimation of evapotranspiration (ET) in Cyprus and furthermore in the undertaking of the required measures for a sustainable irrigation water management in the future. The determination of ET is a very difficult procedure, since it combines various meteorological and field parameters, while quite many different estimation models have been indicated in the literature. In this case study, a wireless sensor network is proposed to act as a monitoring tool for providing measurements of the necessary parameters (meteorological, climatic and other auxiliary data required to be included in the irrigation demand models) while reflectance is being determined directly from the satellite images. Geographic Information Systems (GIS) have been used to create a database for the collected data. Taking in to account the great importance of irrigation water as a principal driver in rural development, as well as the increasing demand for irrigation water, the investigation of ways for irrigation water management is extremely valuable, especially in waterscarce areas.

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“…Despite their importance in estimating irrigation performance indicators, irrigation system data including irrigated/cultivated area are seldom measured in a regular and reliable manner to cover the entire irrigation system. According to [6], the lack of proper and effective management of irrigation systems is related to the conventional method of data collection through field observation, which is difficult, time-consuming, and inadequate in temporal and spatial coverage.…”

Section: Introductionmentioning

confidence: 99%

Satellite-Based Mapping of Cultivated Area in Gash Delta Spate Irrigation System, Sudan

et al. 2018

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Abstract:In this study, a simple methodology for mapping the seasonal cultivated area of the Gash Delta Spate Irrigation System based on satellite images was developed. The methodology combined information from multiple bands to characterize the land surface in terms of spectral indices (e.g., Normalized Difference Vegetation Index (NDVI), and surface temperature (Ts)). Visual interpretations of a conveniently selected image were undertaken to identify and select sample points of interest. The NDVI and Ts values (computed from multi-date images that represented the crop growing period) of the sample points were used to developed typical NDVI and Ts plots. By analyzing these plots and the cropping calendar, an NDVI and Ts threshold-based algorithm was developed to extract the cultivated area of a given season. Analysis of the developed algorithm showed that it was simple, easily modifiable, and had interpretable rules and threshold values. Comparing the extracted cultivated area with the field report area showed a promising application of the methodology to map and estimate the cultivated area from only remote sensing data.

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Satellite remote sensing to support management of irrigation systems: concepts and approaches

Cited by 42 publications

References 54 publications

Mapping Irrigated Areas of Ghana Using Fusion of 30 m and 250 m Resolution Remote-Sensing Data

Mapping Irrigated Areas of Ghana Using Fusion of 30 m and 250 m Resolution Remote-Sensing Data

Monitoring and determination of irrigation demand in Cyprus

Satellite-Based Mapping of Cultivated Area in Gash Delta Spate Irrigation System, Sudan

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