Send the link below via email or IMCopy
Present to your audienceStart remote presentation
- Invited audience members will follow you as you navigate and present
- People invited to a presentation do not need a Prezi account
- This link expires 10 minutes after you close the presentation
- A maximum of 30 users can follow your presentation
- Learn more about this feature in our knowledge base article
Do you really want to delete this prezi?
Neither you, nor the coeditors you shared it with will be able to recover it again.
Make your likes visible on Facebook?
Connect your Facebook account to Prezi and let your likes appear on your timeline.
You can change this under Settings & Account at any time.
Remote sensing in Agriculture
Transcript of Remote sensing in Agriculture
“Remote sensing is the science (and to some extent, art) of
about the Earth's surface
actually being in
with it. This is done by sensing and recording reflected or emitted
and processing, analyzing, and applying that information” CCRS
How it works
The key is the different interaction of materials within the electromagnetic spectrum
spectral signatures (VIS-MIR)
Used to map specific materials by detecting specific chemical bonds. (USGS, 2002)
Simultaneous registration of ‘reflectance’ images. (Wageningen UR, 2014)
R.S. In Agriculture
A tool to help obtain data in order to
identify and monitor crops
in agricultural practices
An understanding of the
temporal and spatial
of agricultural land cover
Important in the
of agricultural strategies
“Information and technology-based agricultural management system to improve crop production efficiency.” (Metternicht, 2006)
Resolution (Spatial and Temporal)
Heterogeneity of cropland
Awareness of limitations
Global food demand
Advances in technologies
Improve hardware, software
Atzberger, C. (2013) Advances in remote sensing of agriculture: Context description, existing operational monitoring systems and major information needs. Remote Sensing, 5(2), 949-981.
Canada Centre for Remote Sensing (CCRS), Natural Resources Canada 2013 Tutorial: Fundamentals of Remote Sensing. http://www.nrcan.gc.ca/earth-sciences/geomatics/satellite-imagery-air-photos/satellite-imagery-products/educational-resources/9309 [Accessed 27 November 2014]
Dunn, B. W. et al (2002) The potential of near-infrared reflectance spectroscopy for soil analysis—a case study from the Riverine Plain of south-eastern Australia. Animal Production Science, 42(5), 607-614.
Kyllo, K. P. (2003) NASA funded research on agricultural remote sensing, Department of Space Studies, University of North Dakota.
Leroux, L. et al. (2014) How Reliable is the MODIS Land Cover Product for Crop Mapping Sub-Saharan Agricultural Landscapes? Remote Sensing, 6(9), 8541-8564
Metternicht, G. (2006) Presentation: Use of remote sensing and GNSS in precision agriculture. [ONLINE] Available at: http://www.oosa.unvienna.org/pdf/sap/2006/zambia/presentations/04-01-01.pdf. [Accessed 27 November 2014]
Mulianga, B. et al. (2013) Forecasting Regional Sugarcane Yield Based on Time Integral and Spatial Aggregation of MODIS NDVI Remote Sensing 2013, 5(5), 2184-2199
Establish ground truth
Visualize: e.g. Normalize data using Vegetation Indices.
Yield estimation and prediction
Recognizing site variability through enhanced imagery and multi- temporal analysis
Determining the cause of such variability and ‘problem areas’ in crop production
Cost efficient/effective tool
Additionally helps protect the environment
“A Production Efficiency Model-Based Method for Satellite Estimates of Corn and Soybean Yields in the Midwestern US.”
(Xin et al, 2013)
“Politics & technology: U.S. polices restricting unmanned aerial systems in agriculture.”
(Freeman et al, 2014)
“Forecasting Regional Sugarcane Yield Based on Time Integral and Spatial Aggregation of MODIS NDVI.” (
Mulianga et al, 2013)
“How Reliable is the MODIS Land Cover Product for Crop Mapping Sub-Saharan Agricultural Landscapes.”
(Leroux et al, 2014)
of Remote Sensing since it's beginning has led to the following in the
More frequent use
Murray, P. (2013) Precision Agriculture – High Technology Invades The Farm | Singularity HUB. [ONLINE] Available at: http://singularityhub.com/2011/03/13/precision-agriculture-high-technology-invades-the-farm/. [Accessed 27 November 2014]
National Agricultural Statistics Survey (NASS) (2009) NASS Surveys - Remotely Sensed Data for Crop Acreage. [ONLINE] Available at: http://nass.usda.gov/Surveys/Remotely_Sensed_Data_Crop_Acreage/index.asp. [Accessed 27 November 2014]
Precision Agriculture (2014) Variable Rate Applications | Precision Agriculture. [ONLINE] Available at: http://www.precisionagriculture.com.au/variable-rate-applications.php. [Accessed 27 November 2014]
Satellite Imaging Corporation and SPOT Image Corporation (2005) SPOT 5 false colour composite of agricultural fields in Saxony, Germany, near Berzdorf Lake. http://www.seos-project.eu/modules/agriculture/agriculture-c02-p02.html [Accessed 27 November 2014]
SEOS-project (Agriculture) (2014) Remote Sensing and Geo-Information Technologies in Agriculture. [ONLINE] Available at: http://www.seos-project.eu/modules/agriculture/agriculture-c00-p01.html. [Accessed 27 November 2014]
USGS (2002) About Imaging Spectroscopy, http://speclab.cr.usgs.gov [Accessed 27 November 2014]
Wageningen UR (2014) Remote Sensing, http://scomp5063.wur.nl/courses/grs20306/ [Accessed 27 November 2014]
trading industry - import/export
strategies in farming operations
The Evolution of...
Wageningen UR, 2014
More reliable results
However, there are still