Fly Expertly. Detect Truthfully. Perform Consistently.

Slides:



Advertisements
Similar presentations
Remote Sensing. Readings: and lecture notes Figures to Examine: to Examine the Image from IKONOS, and compare it with the others.
Advertisements

Predicting and mapping biomass using remote sensing and GIS techniques; a case of sugarcane in Mumias Kenya Odhiambo J.O, Wayumba G, Inima A, Omuto C.T,
More than a Pretty Picture: How Landsat Images Are Made Malaspina Glacier, Alaska.
Remote sensing in meteorology
Crop Science 6 Fall Crop Science 6 Fall 2004 What is Precision Agriculture?? The practice of managing specific field areas based on variability.
© red ©
Remote Sensing What is Remote Sensing? What is Remote Sensing? Sample Images Sample Images What do you need for it to work? What do you need for it to.
Meteorological satellites – National Oceanographic and Atmospheric Administration (NOAA)-Polar Orbiting Environmental Satellite (POES) Orbital characteristics.
How do we measure and forecast the weather?. Radar images can detect areas of rainfall and how heavy it is. RAINFALL.
Unmanned Aerial Vehicle System for Remote Sensing Applications in Agriculture and Aquaculture Dr. Randy. R. Price, Goutam. J. Nistala, Dr. Steven G. Hall.
Use of remote sensing on turfgrass Soil 4213 course presentation Xi Xiong April 18, 2003.
Remote Sensing Applications. Signatures – a unique identifier…
Use of Remote Sensing Data for Delineation of Wildland Fire Effects
1. What is light and how do we describe it? 2. What are the physical units that we use to describe light? 1. Be able to convert between them and use.
Remote Sensing What is Remote Sensing? What is Remote Sensing? Sample Images Sample Images What do you need for it to work? What do you need for it to.
What is Precision Agriculture?
Our Universe.
Differences b etween Red and Green NDVI, What do they predict and what they don’t predict Shambel Maru.
Digital Numbers The Remote Sensing world calls cell values are also called a digital number or DN. In most of the imagery we work with the DN represents.
West Hills College Farm of the Future. West Hills College Farm of the Future Precision Agriculture – Lesson 5 What is Precision Agriculture?? Managing.
Spectral Characteristics
Lesson 7 Understanding Remote Sensing Technology.
The role of remote sensing in Climate Change Mitigation and Adaptation.
Chapter 5 Remote Sensing Crop Science 6 Fall 2004 October 22, 2004.
West Hills College Farm of the Future. West Hills College Farm of the Future Precision Agriculture – Lesson 4 Remote Sensing A group of techniques for.
West Hills College Farm of the Future The Precision-Farming Guide for Agriculturalists Chapter Five Remote Sensing.
Remote Sensing Introduction to light and color. What is remote sensing? Introduction to satellite imagery. 5 resolutions of satellite imagery. Satellite.
What is an image? What is an image and which image bands are “best” for visual interpretation?
Understanding Remote Sensing Technology. Next Generation Science/Common Core Standards Addressed! CCSS.ELA Literacy. RST.9 ‐ 10.1 Cite specific textual.
EG1106 geographic information: a primer Introduction to remote sensing 24 th November 2004.
Satellite Imagery Another type of “remote sensing” observation.
Development of a Small Remotely Piloted Vehicle for the Collection of Normalized Difference Vegetative Index Readings Dr. Randy R. Price, Goutam Nistala.
State of Engineering in Precision Agriculture, Boundaries and Limits for Agronomy.
ILLUSIONS THAT WILL NOT STRAIN YOUR BRAIN BUT YOUR EYES.
Violet:  m Blue:  m Green:  m Yellow:  m Orange:  m Red:
Farms, sensors and satellites. Using fertilisers Farming practice are changing Growing quality crops in good yields depends on many factors, including.
Electromagnetic Radiation
Statewide Curriculum. Statewide Curriculum Precision Agriculture – Lesson 5 What is Precision Agriculture?? Managing Each Crop Production Input – Fertilizer.
Introduction to Remote Sensing of the Environment Bot/Geog 4111/5111
Mapping Variations in Crop Growth Using Satellite Data
Using vegetation indices (NDVI) to study vegetation
Drone applications in Forestry APEC/APFL forum, February 2017
What is Precision Agriculture?
Satellite Image Pixel Size vs Mapping Scale
GPS in Agriculture Ag Science II Mr. Dieckhoff
Colour air photo: 15th / University Way
Mapping wheat growth in dryland fields in SE Wyoming using Landsat images Matthew Thoman.
STUDY ON THE PHENOLOGY OF ASPEN
Factsheet # 9 Decadal Analysis of Wetland & Agricultural Change
Basics of radiation physics for remote sensing of vegetation
VegDRI Products Additional VegDRI products for rangeland decision makers and other users will be available at the VegDRI page within the Monitoring section.
ERT 247 SENSOR & PLATFORM.
Remote Sensing What is Remote Sensing? Sample Images
Colour Farm Dr. Jean.
Digital Numbers The Remote Sensing world calls cell values are also called a digital number or DN. In most of the imagery we work with the DN represents.
Light In this unit: Properties of light Reflection Colors Refraction
Introduction to Remote-Sensing
By Blake Balzan1, with Ramesh Sivanpillai PhD2
Image Information Extraction
UNL Algorithm for N in Corn
Remote Sensing Section 3.
What Color is it?.
REMOTE SENSING.
REMOTE SENSING.
Colour Farm Dr. Jean.
Remote sensing in meteorology
LEARNING STRATEGIES: TRUE COLOURS The True Colours Test.
Build a Remote Sensing Satellite
LEARNING STRATEGIES: TRUE COLOURS The True Colours Test.
Precision Irrigation in Oklahoma
Presentation transcript:

Fly Expertly. Detect Truthfully. Perform Consistently.

Remotely piloted aircraft “Drones”

“Farming by the meter” Precision farming Practicing Precision Farming will help the farmer to make decisions on: Variable Rate Irrigation Variable Rate Pesticide Application Variable Rate Fertilizer Application Variable Rate Seeding/Planting “Farming by the meter”

Using multi-spectral cameras Seeing more from a distance

Remote detection Seeing the details better from far away. Example: 10 maize fields in the DRC of +- 1000 hectares each. Fields shown in yellow were subscribed for monitoring

True-colour image of area A Satellite image with 6m spatial resolution was acquired on 16 Feb 2015 over the area of interest. Two very small clouds (less than 0.5% of image area) with associated shadow are visible on Field 1. It is clear that crops on Fields 1-5 are more mature than crops on fields 6-10.

Normalized Difference Vegetation Index image of subscribed fields Low High The Vegetation Index image shows the relative chlorophyll activity and biomass of crops per field. Low activity or stressed areas are shown as low values (brown – orange - yellow colours), while high activity or advanced crop development is shown as high values (green – blue – magenta colours)

Vegetation Index image of fields 1-4 Low High The Vegetation Index image shows that fields 1-4 are well developed. A fair amount of variation is evident which must be investigated using on- ground surveys.

Vegetation Index image of fields 6, 7 Low High The Vegetation Index image shows that fields 6-7 are very young and under-developed. The black areas shown in this picture is due to a confirmed fire on this field causing a very low index value.

Thermal imaging Infrared radiation is emitted by all objects with a temperature above absolute zero. This makes it possible to see one's environment with or without visible illumination.

Thermal imaging

Creating up to date photographic maps Not dependable on cloud coverage.

Thank you for your presence! www.haevic.co.za