عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
NATIONAL BIBLIOGRAPHY NUMBER
Number
TL56722
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Integrating Gravimetry Data with Thermal Infra-Red Data from Satellites to Improve Efficiency of Operational Irrigation Advisory in South Asia
General Material Designation
[Thesis]
First Statement of Responsibility
Bose, Indira
Subsequent Statement of Responsibility
Hossain, Faisal
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
University of Washington
Date of Publication, Distribution, etc.
2020
GENERAL NOTES
Text of Note
79 p.
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
Master's
Body granting the degree
University of Washington
Text preceding or following the note
2020
SUMMARY OR ABSTRACT
Text of Note
The rapid decline of groundwater resources in South Asia due to excessive irrigation during dry season requires awareness of optimal on-field water allocation requirements that is now being provided to farmer cellphones through an operational Irrigation Advisory System (IAS). To minimize the cost of sending such irrigation advisory texts to farmers while maximizing impact of IAS on groundwater sustainability we integrated Gravity Recovery and Climate Experiment (GRACE) data with Landsat Thermal Infrared (TIR) Imagery to target regions in greater need of the IAS service. We demonstrated the concept of an improved IAS with the integration of GRACE and Landsat TIR data over eight irrigation districts of the Ganges and Indus basins. The Surface Energy Balance Algorithm for Land (SEBAL) was used to monitor on-field water consumption (evapotranspiration-ET) over cropped areas using Landsat TIR data at plot-scale spatial resolution. Comparison of SEBAL ET with crop water demand from Penman-Monteith (FAO56) technique quantified the extent of over-irrigation at the plot scale and provided a tangible pathway to micro-target the IAS service only to farmers with the largest groundwater use footprint, thereby maximizing the efficiency of the IAS service. Our results suggested that an operational IAS that integrates GRACE and Landsat TIR data on average can save about 85% (80 million m3) of groundwater per dry season for irrigation districts of Northern India and 87% (or 150 million m3) per year for irrigation districts of Eastern Pakistan. Our proposed enhanced IAS will also allow continuous monitoring of farmer behavioral change in reducing over-irrigation and long-term impact on groundwater resources with need-based irrigation practices via follow up assessment of GRACE TWS (after dry season) and TIR data (during dry season).
UNCONTROLLED SUBJECT TERMS
Subject Term
Agriculture
Subject Term
Civil engineering
Subject Term
Remote sensing
Subject Term
South Asian studies
PERSONAL NAME - PRIMARY RESPONSIBILITY
Bose, Indira
PERSONAL NAME - SECONDARY RESPONSIBILITY
Hossain, Faisal
CORPORATE BODY NAME - SECONDARY RESPONSIBILITY
University of Washington
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب p
[Thesis]
276903
a
Y
