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3 edition of Irrigated rice area estimation using remote sensing techniques found in the catalog.

Irrigated rice area estimation using remote sensing techniques

Getúlio Vargas de Assunção

Irrigated rice area estimation using remote sensing techniques

project"s proposal and preliminary results

by Getúlio Vargas de Assunção

  • 139 Want to read
  • 25 Currently reading

Published by Instituto de Pesquisas Espaciais, National Aeronautics and Space Administration in [São José dos Campos, Brazil], [Washington, D.C .
Written in English

    Subjects:
  • Rice.,
  • Terracing -- Brazil -- Rio Grande do Sul -- Remote sensing.,
  • Landsat satellites.,
  • Brazil.,
  • Crop inventories.,
  • Digital techniques.,
  • Photointerpretation.,
  • Rice.

  • Edition Notes

    Microfiche. [Washington, D.C. : National Aeronautics and Space Administration], 1984. 1 microfiche.

    StatementGetúlio Vargas de Assunc̜ão, Maurício Alves Moreira, René Antonio Novaes.
    Series[NASA contractor report -- NASA CR-172806]
    ContributionsMoreira, Maurício Alves., Novaes, René Antonio., Instituto de Pesquisas Espaciais (Brazil), United States. National Aeronautics and Space Administration.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL16153767M

    Crop coefficient (K c) based estimation of crop evapotranspiration (E T c) is one of the most commonly used methods for irrigation water management. The standardized FAO56 Penman-Monteith approach for estimating E T c from reference evapotranspiration and tabulated generalized K c values has been widely adopted worldwide to estimate E T this study, we presented a modified approach toward. Abstract. Evapotranspiration (ET) is one of the main water balance components, and its actual value appears to be the most difficult to measure ore, the choice of reliable models capable of predicting spatially distributed actual ET represents a drought monitoring fundamental aspect. This chapter presents a brief introduction to the main remote sensing methods for ET estimate Cited by:   Crop coefficient (K c) based estimation of crop evapotranspiration (E T c) is one of the most commonly used methods for irrigation water management. The standardized FAO56 Penman-Monteith approach for estimating E T c from reference evapotranspiration and tabulated generalized K c values has been widely adopted worldwide to estimate E T this study, we presented a modified . Some direct yield methods use meteorological and agronomical data in operation also; and in a few cases some models use only satellite Remote Sensing data, with ground-truth reference (crop yield) data necessary only in the calibration phase (e.g. Idso et al. , Aase and Siddoway , Gallo and Daughtry , Tucker et al. , Hatfield.

    Mapping irrigated areas of Ghana using fusion of 30 m and m resolution remote-sensing data MK Gumma, PS Thenkabail, F Hideto, A Nelson, V Dheeravath, D Busia, Remote Sensing 3 (4), , .


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Irrigated rice area estimation using remote sensing techniques by Getúlio Vargas de Assunção Download PDF EPUB FB2

Remote sensing techniques have the potential to provide information on agricultural crops quantitatively, instantaneously and above all nondestructively over large areas. Crop simulation models describe the relationship between physiological processes in plants and environmental growing conditions.

The integration between remote sensing data and crop growth simulation model is an Cited by: Get this from a library. Irrigated rice area estimation using remote sensing techniques: project's proposal and preliminary results.

[Getúlio Vargas de Assunção; Maurício Alves Moreira; René Antonio Novaes; Instituto de Pesquisas Espaciais (Brazil); United. Methods and approaches of mapping irrigated areas at Irrigated rice area estimation using remote sensing techniques book resolutions using remote sensing data.

Irrigated areas were mapped using: (a) AVHRR pathfinder km data, (b) MODIS m (c) MODIS m and (d) Landsat m data. The study was conducted Irrigated rice area estimation using remote sensing techniques book the Krishna River, India using satellite sensor data for nominal year Author: Murali Krishna Gumma, Prasad bail.

The development of a methodology for annual estimates of irrigated rice crop in the State of Rio Grande do Sul, Brazil, Irrigated rice area estimation using remote sensing techniques book remote sensing techniques is proposed. The project involves interpretation, digital analysis, and sampling techniques of LANDSAT imagery.

PDF | OnMohamed Kefi and others published Identification of Irrigated Olive Growing farms using remote sensing techniques | Find, read and. The temporal variation in irrigated area in the DES data and MODIS m irrigated area maps for all India is shown in Table 2. Our results showed an overestimation in irrigated area estimated using m MODIS NDVI data (Table 2).

Since our estimates Cited by: Using Remote Sensing to Estimate Evapotranspiration of Irrigated Crops Under Flood and Sprinkler Irrigation Systems Article in Irrigation and Drainage 65(1) October with Reads. Remote Sensing of Rice Crop Areas Irrigated rice area estimation using remote sensing techniques book A Review.

Only 25% of the total rice area and 17% of the. ment of the canopy nitro gen status by Irrigated rice area estimation using remote sensing techniques book techniques at these g ro wth stages.

Remote sensing enables regular updating of irrigated areas that tend to deviate substantially from the original estimates of irrigation command areas. Cropping patterns may have changed due to influences of market mechanisms, water logging, or scarcity due to restricted or unreliable canal water by: yield estimation.

Methodology Remote-sensing based rice yield estimation system involves two key modules: (1) MAPscape-Rice and (2) ORYZA (Fig. MAPscape-Rice is the interface from satellite-based observation data into SAR products such as rice area estimates, start of season (SoS), phenological field status, and leaf area index (LAI).File Size: KB.

Using Remote Sensing Techniques for Appraisal of Irrigated Soil Salinity imagery along with remote sensing techniques is a promising method to map salinity, as it allows for large-scale. Estimation of crop evapotranspiration of irrigation command area using remote sensing and GIS Article (PDF Available) in Agricultural Water Management 49(3).

Irrigation System (LIS) area, using the SEBAL model applied to a remote sensing TERRA/MODIS sensor. The second objective is to estimate seasonal actual evapotranspiration of the LIS area for the summer season of These results were integrated with a MODFLOW based water balance of the LIS which will be reported separately.

The amount of area cultivated for rice from the district statistics is mainly used to cross-check the amount of rice area obtained from remote-sensing techniques, while the rice varietal data are used for estimating rainfed/irrigated rice varieties, including hybrid/stress-tolerant varieties. TRMM rainfall dataCited by: Remote Sensing2 irrigated lands rather than mere totals within arbitrary political units.

This is important for prioritizing water delivery, assessing irrigation performance, providing irrigation intensities (e.g., single crop vs.

double crop), quantifying environmental impact, objectively assessing irrigation water use andFile Size: KB. irrigated through canals and tube-wells.

Irrigated area is about ha. While the gross irrigated area is important crops grown in this district include wheat, rice, sugarcane, sorghum, maize and berseem. The climate of the district is dry and hot in summer and cold in winter. Its maximum and minimum temperatures varyFile Size: 1MB.

Remote Sensing of Environment ; [9] Bandara KMPS. Assessing irrigation performance by using remote sensing. Doctoral thesis, Wageningen University, Wageningen, The Netherlands; [10] Hafeez MM.

Water accounting and productivity at different spatial scales in a rice irrigation system: a remote sensing approach.

Vlek PLG (ed.).Cited by: 7. Estimating Evapotranspiration using Remote Sensing Techniques for the Sustainable Use of Irrigation Water in Agriculture. Authors. The wise and sustainable use of irrigation water will result to higher efficiency and will increase the water reserve funds for the future generations.

Sustainable use of irrigation water will preserve the. Small Area Estimation for Crop Acreage in Remote Sensing Assisted Crop Survey — A Ca se of Major Crop Acreage Estimation in Liaozhong County Wei Zhou Department of Rural Surveys, National Bureau of Statistics of China 75 Yuetan Nanjie, Beijing, China.

use by quantifying the irrigated areas and their production. Conventional methods of mapping irrigated areas through surveys are time-consuming and tedious.

Remote sensing offers a relatively inexpensive and reliable tech-nology to estimate area under irrigation (Thenkabail et al., ).

Satellites in space have the capacity to continu. To determine the irrigation requirements of rice crop on different soils, an integrated approach is used using Remote Sensing and GIS techniques.

Depending on the type of soil, climate and the crop acreage, the water requirement for paddy fields is derived. This study is focused on estimating the water demand for rice crop in season.

The possibility for monitoring irrigation demand from space is an important factor and tool for policy makers. It has been found that saving irrigation water through remote sensing techniques could diminish farm irrigation cost which reaches 25% of the total costs and increases the margin of net profit (Papadavid et al., ).Cited by: 2.

of the total irrigated area is planted to rice. 14/11/FSU Jena, Germany 4 • Further use of Remote Sensing data can be used for mapping spatial distribution of crop-coefficients and accurate estimation of irrigation water demand.

Remote Sensing-Based Methods for Mapping Rice Area Due to the ability of viewing the Earth’s surface by the remote sensing platforms in a repetitive manner, several remote sensing-based methods were developed for mapping the rice areas in different parts of the World.

Both optical and microwave remote sensing systems offer practical means forCited by:   In spite of water scarcity problem in Tunisia, irrigation strategy was adopted and supported by the government.

In addition, the introduction of the irrigation in olive sector was also encouraged because it will be the way for maintaining the production of this strategic product.

Therefore, the main objective of this work is to detect irrigated and non-irrigated olive growing farms using Cited by: 4. 1. Introduction. Crop evapotranspiration (ET crop) refers to evapotranspiration of a disease-free crop, grown in very large fields, not short of water and fertiliser (Doorenbos and Pruitt, ).Estimation of ET crop is essential for computing the soil water balance and irrigation scheduling.

ET crop is governed by weather and crop condition. Mathematically, ET crop can be expressed as (1) Cited by: the attribute data for all features. This paper reports work done at UPM in the use of remote sensing data for estimating evapotranspiration of rice.

THE STUDY AREA The area chosen for this study is the Tanjung Karang Rice Irrigation Project (Fig.1). The site is located on a flat coastal plain in the Northwest Selangor Agricultural Development.

The PhD dissertation by Saleh Taghvaeian who also finished incontains research on using remote sensing to estimate ET over a very large irrigated area in southern California and close the water balance to within 2% using estimated and measured values.

estimation with remote sensing 1. Develop robust & transferable crop coefficients 2. Develop remote sensing techniques to estimate the surface energy balance, and crop water stress 3.

Implement remote sensing ET techniques as decision support tools Increased on-farm water use efficiency Improved irrigation scheduling methodologies. An investigation entitled Spatial and temporal rice yield variation in Jurala Irrigation Project using Remote Sensing and GIS was carried out during kharif and in the command area of Priyadarsini Jurala irrigation project (PJP) located in Mahabubnagar district of Andhra Pradesh, India.

the-art remote sensing techniques in many countries. However, there have been very limited applications of remote sensing of broad acre irrigated crops grown in Australian conditions. This study has tried to estimate the spatial variability of crop yield using a remote sensing modelling technique. Objective Sampling Estimation of Crop Area Based on Remote Sensing Images: /ch Having the ability to estimate crop areas is a necessity ever more pressing for all the stakeholders of productive chains.

For many scientists involved inCited by: 2. Irrigation water is scarce. Hence, accurate estimation of crop water use is necessary for proper irrigation managements and water conservation. Satellite-based remote sensing is a tool that can estimate crop water use efficiently.

Several models have been developed to estimate crop water requirement or actual evapotranspiration (ETa) using remote : Arturo Reyes-Gonzalez.

Study Area. The Palo Verde Irrigation District (PVID) is located in Imperial and Riverside counties in southeastern California. With about km 2 of territory, PVID was privately developed in to serve local water users.

The majority of irrigated fields within PVID are under surface irrigation (laser-graded borders and furrows), receiving water from the Colorado River through an extended.

Detailed analysis of Land Use/Land Cover (LULC) using remote sensing data in complex irrigated basins provides complete profile for better water resource management and planning.

Using remote sensing data, this study provides detailed land use maps of the Lower Chenab Canal irrigated region of Pakistan from to for LULC change detection.

Major crop types are Cited by: The use of remote sensing to monitor surface water bodies has gradually matured. Long-term serial water change analysis and floods monitoring are currently research hotspots of remote sensing hydrology.

However, these studies are also faced with some problems, such as coarse temporal or spatial resolution of some remote sensing data. estimation of irrigation requirement using remote sensing 1.

Identification of cropping pattern and estimation of water requirement using remote sensing Dept. of Civil, SDMIT Ujire. Page 1 CHAPTER 1 INTRODUCTION The water requirement has.

Assessing Spatial and Temporal Changes of Runoff Response using Remote Sensing and GIS. Paper No.American Society of Agricultural Engineers Annual International Meeting, 30 July - 1 Aug.Sacramento, CA. Melesse, Assefa, M., and Sun F.

Shih, Assessment of Spatially Distributed Storm Runof using Remote Sensing and GIS. Estimation on methane estimation was done by Tamura and Yasuoka () in western Siberian Wetlands by using remote sensing techniques. They investigated the vegetation cover by using remote sensing techniques and estimated regional methane emissions by combining the results of satellite observations with ground methane measurements.

Implications: Analysis and presentation of the implications of the remote-sensing based analysis of global irrigated area.

Synthesis publications a. Research report giving the big picture, b. A CA book giving the big picture backed up by a summary of the techniques and. Classification pdf Irrigated and Non-Irrigated Land Using Remote Sensing Techniques: A Case Study in Nebraska NGWA Conference on the Upper Great Plains Cayenne, Wyoming Septem Mahesh Pun, EIT Ruopu Li, PhD Integrated Water Management Analyst Nebraska Department of Natural Resources.Irrigated farmland typically generates three times the production of download pdf equivalent area farmed under dry-land systems.

The developing countries as a whole are expected to expand their irrigated area from million hectares in /99 to million hectares by - FAO Sprinkler irrigation (“big gun”) in South Canada. Source: STAUFFER File Size: 1MB.Current Methodology for Estimating Crop Area Aerospace Ebook Sensing 2.

Remote Sensing Research for Applications to Crop Area Estimation Initial Research During Methodology Development of Computing Capability Iowa Project - 3. AgRIST ARS Departmental Program SRS Role 4. Future Use of.