'Ndvi values' diaporamas de présentation

MODIS Compositing and Forest Change Detection

464 views • 45 slides

R. Tsheko , M. Tapela, N.J. Batisani Botswana College of Agriculture Crop and Rangeland Monitoring

R. Tsheko , M. Tapela, N.J. Batisani Botswana College of Agriculture Crop and Rangeland Monitoring Agriculture Service. Agenda SADC THEMA Services. Course Content Introduction Vegetation Indicies NDVI NDWI DMP VPI. 1) Introduction.

558 views • 37 slides

Remote Sensing: Viewing Japan from Space Remote Sensing for Agriculture Monitoring

Remote Sensing: Viewing Japan from Space Remote Sensing for Agriculture Monitoring. Mirza Muhammad Waqar PhD Scholar Email: mirza.waqar@chiba-u.jp Website: https://mirzawaqar.wordpress.com/ Josaphat Microwave Remote Sensing Laboratory (JMRSL),

383 views • 34 slides

A comparison of remotely sensed imagery with site-specific crop management data

A comparison of remotely sensed imagery with site-specific crop management data. Anjelien Drost Land Resource Science University of Guelph. Outline. Introduction Objectives Data Acquisition Methodology Results Conclusion. Introduction. Technology in Agriculture.

425 views • 31 slides

Agenda SADC THEMA Services

Agenda SADC THEMA Services. PRESENTATION FORMAT Introduction Uses of products Vegetation Indices Rainfall and Water Indices. 1. Introduction: What can you see ?. Field A. Field B.

289 views • 17 slides

Agenda SADC THEMA Services

Agenda SADC THEMA Services. PRESENTATION FORMAT Introduction Uses of products Vegetation Indices Rainfall and Water Indices. 1. Introduction: What can you see ?. Field A. Field B.

251 views • 17 slides

Analysis of Forest Fire Disturbance in the Western US Using Landsat Time Series Images: 1985-2005

262 views • 16 slides

Monitoring Vegetation Ecosystems Using Interannual Multitemporal Landsat Data

Monitoring Vegetation Ecosystems Using Interannual Multitemporal Landsat Data. JAFAR NIYAZOV (TAJIKISTAN).

153 views • 15 slides

Phenology based Classification Model for Vegetation Mapping using IRS-WiFS

Phenology based Classification Model for Vegetation Mapping using IRS-WiFS Shefali Agrawal, Sarnam Singh, P.K.Joshi and P.S.Roy Indian Institute of Remote Sensing, 4 Kalidas Road, Dehradun Introduction

216 views • 10 slides

Phenology based Classification Model for Vegetation Mapping using IRS-WiFS

Phenology based Classification Model for Vegetation Mapping using IRS-WiFS Shefali Agrawal, Sarnam Singh, P.K.Joshi and P.S.Roy Indian Institute of Remote Sensing, 4 Kalidas Road, Dehradun Introduction

106 views • 10 slides

Ministry of Agriculture, Livestock and Food Suply Embrapa Satellite Monitoring

Assessing vegetation coverage at the Sao Paulo State scale: a tool for aiding the decision making process. Fabio Enrique Torresan Embrapa Satelitte Monitoring. Ministry of Agriculture, Livestock and Food Suply Embrapa Satellite Monitoring. S10 NDVI temporal series from SPOT Vegetation.

196 views • 6 slides

Olga S. Walsh, Western Triangle Agricultural Research Center, Conrad, Montana

Evaluation of Sensor-Based Technologies and Nitrogen Sources for Improved Recommendations for Dryland and Irrigated Spring Wheat Production in Montana. Olga S. Walsh, Western Triangle Agricultural Research Center, Conrad, Montana

105 views • 1 slides

Watershed Watch 2013 :: Elizabeth City State University

Determination of an Empirical Model Relating Canopy Cover to NDVI Values in the Pasquotank Watershed, NC. Jimil Perkins Computer Science Norfolk State University. Michael Chamberlain Geophysics University of California, Berkeley. Dr. Stephen Hale Joan and James Leitzel Center

133 views • 1 slides