Next Article in Journal
Multi-Sensor Platform for Indoor Mobile Mapping: System Calibration and Using a Total Station for Indoor Applications
Next Article in Special Issue
Assimilation of MODIS Snow Cover Area Data in a Distributed Hydrological Model Using the Particle Filter
Previous Article in Journal
Using Visible Spectral Information to Predict Long-Wave Infrared Spectral Emissivity: A Case Study over the Sokolov Area of the Czech Republic with an Airborne Hyperspectral Scanner Sensor
Previous Article in Special Issue
Optimizing Satellite-Based Precipitation Estimation for Nowcasting of Rainfall and Flash Flood Events over the South African Domain
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2013, 5(11), 5783-5804; doi:10.3390/rs5115783

Large-Scale Water Productivity Assessments with MODIS Images in a Changing Semi-Arid Environment: A Brazilian Case Study

1
Embrapa Monitoramento por Satélite, Campinas, PE 13070-115, Brazil
2
Agência Nacional das Águas, Brasília, DF 70610-200, Brazil
3
Universidade EstadualPaulista, Ilha Solteira, SP 15385-000, Brazil
*
Author to whom correspondence should be addressed.
Received: 3 September 2013 / Revised: 17 October 2013 / Accepted: 27 October 2013 / Published: 6 November 2013
(This article belongs to the Special Issue Hydrological Remote Sensing)
View Full-Text   |   Download PDF [1470 KB, uploaded 19 June 2014]   |  

Abstract

In the Brazilian semi-arid region, the intensification of agriculture results in a change of natural vegetation by irrigated crops. To quantify the contrast between these two ecosystems, the large-scale values of water productivity components were modelled in Petrolina (PE) and Juazeiro (BA) municipalities. The SAFER (Simple Algorithm For Evapotranspiration Retrieving) algorithm was used to acquire evapotranspiration (ET), while the Monteith's radiation model was applied for estimating the biomass production (BIO). Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images were used together with agro-meteorological data. In Petrolina and Juazeiro, the mean monthly ET values for irrigated crops were 938 and 739 mm∙month−1, with the corresponding ones for natural vegetation of 385 and 194 mm∙month−1.Water productivity (WP) was analysed by the ratio of BIO to ET, defined here as the ratio of the net benefits from the mixed agricultural systems to the amount of water required for producing those benefits. The highest incremental WP values, as a result of the irrigated crops introduction, happened outside the rainy period. More spatial WP uniformity occurred in natural vegetation, when comparing with irrigated crops. The most frequent WP values in Petrolina were between 1.6 and 2.2 kg∙m−3 while in Juazeiro this range was from 1.0 to 1.6 kg∙m−3. The differences between the municipalities can be mainly explained by differences in precipitation and soil water storages conditions, promoting better rainfall use efficiency by the natural vegetation in the first one. The results of the current research are important for appraising the land use change impacts in situations of expanding irrigation areas.
Keywords: evapotranspiration; biomass production; net radiation; surface resistance evapotranspiration; biomass production; net radiation; surface resistance
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

de C. Teixeira, A.H.; Scherer-Warren, M.; Hernandez, F.B.; Andrade, R.G.; Leivas, J.F. Large-Scale Water Productivity Assessments with MODIS Images in a Changing Semi-Arid Environment: A Brazilian Case Study. Remote Sens. 2013, 5, 5783-5804.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top