Remote Sensing in Agriculture

Antonio Roberto Formaggio , Ieda Del’Arco Sanches

The work presents the whole course of research involving the use of remote sensing in agriculture, from the most basic research aimed at understanding the behavior of crops along the electromagnetic spectrum.

 

It goes through the surveys to establish a method for crop forecasting (for example, the Crop Forecasting via Satellite project, in conjunction with The Brazilian Institute of Geography and Statistics), through research to develop more objective and statistical methods for for assessing the evaluation of the crops’ extent, through the development of methods of monitoring sugarcane in a systematic way, etc.

 

The book fills an important gap in the existing works of sensing and geoprocessing. In a clear and illustrated way, all those who work in the areas of agriculture, environment, harvest survey, crop distribution logistics, postgraduate students, researchers and professors related to agriculture will take advantage of the knowledge contained herein.

Original title
Sensoriamento remoto em agricultura
ISBN
978-85-7975-277-3
eISBN
978-85-7975-282-7
Pages
288
Year of publication
2017
Edition
1st

About the authors

Antonio Roberto Formaggio

Antonio Roberto Formaggio is an agronomist engineer graduated from Luiz de Queiroz College of Agriculture (Esalq/USP), holds a Masters in Remote Sensing from National Institute for Space Research (INPE) and a PhD in Agronomy (Soil and Plant Nutrition) from University of São Paulo.

Ieda Del’Arco Sanches

Ieda Del’Arco Sanches is an agronomist engineer graduated from Luiz de Queiroz College of Agriculture (Esalq/USP), holds a Masters in Remote Sensing from National Institute for Space Research (INPE) and a PhD in Earth Science from Massey University of New Zealand and a postdoctoral degree from University of Campinas.

Introduction

Contextualization

Background

Satellites available

Crop calendar, phenology and multitemporal series

Systems and software for image processing

Questions

 

Sensing systems and remote sensing in agriculture

Levels of data collection

Characteristics of orbital platforms

Sensor resolutions

Remote sensing systems

Almost polar orbiting satellites

Satellites of geostationary orbits

Perspectives

Questions

 

Spectral behavior of agricultural crops

EMR interaction with materials

Spectral behavior of agricultural vegetation

Reflective properties of green leaves

Reflective canopy properties

Biophysical variables of agricultural crops

Questions

 

Vegetation spectral indexes × agriculture

Intrinsic or simple indexes

Indexes that use the soil line

Atmospherically corrected indexes

The NDWI index

The ideal index

Influences of the angular relation of the source-targeting system on the spectral indices of vegetation

Indexes of narrow bands (hyperspectral)

The red-edge index

Evaluation of the indexes for the estimation of biochemical variables of the plants

Questions

 

 

Visual interpretation of images obtained by remote orbital sensors for analysis of agricultural targets

Tonality

Color

Form

Size

Standard

Shade

Texture

Geographical location (characteristics of the region)

Questions

 

Agricultural dynamics and remote sensing

Mogi Guaçu-Mococa route

Dynamics of spectral-temporal behavior of agricultural targets

Annual crops

Semi-perennial crops

Perennial crops

Planted forest species

Pasture and hay

Questions

 

Agricultural monitoring via remote sensing

Mapping of agricultural areas and identification of species or types of crop

Crop development monitoring (qualitative evaluation)

Quantitative evaluation

Other questions

Questions

 

Hyperspectral remote sensing applied to agricultural targets

Hyperspectral sensors

Processing and analysis of hyperspectral data

Applications

Questions

 

Remote sensing for precision agriculture

Satellite data in precision agriculture

Estimating plant population

Estimating productivity

Need to apply fertilizers and pesticides

Pest attack alert

Use of GIS in precision agriculture

GPS system

Drones in precision agriculture

Perspectives of precision agriculture

Precision agriculture in Brazil

Questions

 

Future perspectives of Brazilian and world agriculture

Contact sensors and proximal sensors

Field sensors

Subaerial sensors

Aerial sensors

Orbital sensors

Hyperspectral orbital sensors

Thermal sensors

Microwave sensors (radar)

The need for all-weather systems

The need for sampling based systems

Small satellite constellations

Perspectives and future scenarios

Questions

 

Bibliographical references

About the authors