Assessment of Irrigation Water Use Patterns Using Remote Sensing Data in Mexico’s Northeast

9 pages•Published: September 20, 2018

Saul Arciniega, Jose A. Breña-Naranjo, Adrián Pedrozo-Acuña and Antonio Hernández-Espriú

Abstract

Irrigation water use (IWU) or withdrawal is a key component for the water management of a region since it tends to exceed the crops consumptive water use, especially in water-stressed regions where groundwater is the main source of water. Nevertheless, temporal IWU information is missing in many irrigation areas. Remote sensing (RS) data is commonly used for crop water requirements estimations in areas with lack of data, however, IWU is more complex to approach since it also depends on water use efficiency, irrigation system type, irrigation scheduling, and water availability, among others. This work explores the use of remote sensing data (TRMM, MODIS) and land surface hydrological products (GLDAS 2 and MERRA 2) to obtain insights about the space-time annual IWU patterns across croplands located within Mexico’s northeast region. Reported IWU in three irrigation districts (Don Martín, Región Lagunera and Bajo Río Bravo) was used to obtain a functional model using satellite data derived. Results suggest strong relationship between reported IWU with soil moisture content from GLDAS and the maximum annual EVI from MODIS, where a potential regression shown statistical correlations of 0.83 and 0.77, respectively.

Keyphrases: evapotranspiration, groundwater, irrigation, remote sensing

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 70-78.

Links:	https://easychair.org/publications/paper/lDBx
	https://doi.org/10.29007/qz1w

BibTeX entry

@inproceedings{HIC2018:Assessment_Irrigation_Water_Use,
  author    = {Saul Arciniega and Jose A. Breña-Naranjo and Adrián Pedrozo-Acuña and Antonio Hernández-Espriú},
  title     = {Assessment of Irrigation Water Use Patterns Using Remote Sensing Data in Mexico’s Northeast},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/lDBx},
  doi       = {10.29007/qz1w},
  pages     = {70-78},
  year      = {2018}}

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