ESA SNAP WORKBOOK

ESA SNAP WORKBOOK
by Astri Polska

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from EO4EP – Earth Observation for Eastern Partnership

earth observation for sustainable development

Download Link: MergedFile (eo4sd-eastern.eu)

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This book is helpful for the beginner learners for SNAP sentinel toolbox.

Contains 5 chapters: first chapter deals with the installation guides; second, third and third chapter deals with basic raster tools within the software, optical and radar data processing respectively; and the final chapter with the automation of the process.

The book has only 46 pages making it very handy, crispy and easy to follow making it less bulkier. Although the major explanations of each step is lacking and real cases are not so fully provided, this is the reason this book presents the necessary steps for the early learners as a handy book. Definitely download for the early learners, or for others to revise and view it once.

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Download Link: MergedFile (eo4sd-eastern.eu)

Representing, Modeling and Visualizing the Natural Environment

 

Introduction to Representing, Modeling, and Visualizing the Natural Environment

Geographic information systems (GIS) provide a range of opportunities for exploring the complexity of the natural environment, offering tools and software packages that undergo continual innovation and development in response to new analytical demands for solutions to spatial problems. Geographic information science (GIScience) provides the academic framework for these technologies, addressing the theoretical and scientific issues associated with the use of GIS . 

Handbook of Applied Spatial Analysis Software Tools, Methods and Applications

 

 

 Preface

The Handbook is written for academics, researchers, practitioners and advanced graduate students. It has been designed to be read by those new or starting out in the field of spatial analysis as well as by those who are already familiar with the field.

 

The chapters have been written in such a way that readers who are new to the field will gain important overview and insight. At the same time, those readers who are already practitioners in the field will gain through the advanced and/or updated tools and new materials and state-of-the-art developments included.

 

Remote Sensing Image Fusion, pdf eBook

Preface of the Book

Nowadays, approximately four TB of image data are collected daily by instruments mounted on satellite platforms, not to mention the data produced by a myriad of specific campaigns carried out through airborne instruments. Very high-resolution (VHR) multispectral scanners, IKONOS, QuickBird, GeoEye,WorldView, Pl ́eiades, just to mention the most popular, and especially the related monospectral panchromatic instruments are responsible for a large part of the amount.

Normalized Difference Vegetation Index (NDVI)

Normalized Difference Vegetation Index (NDVI)

Normalized Difference Vegetation Index (NDVI) is used to quantify vegetation greenness and is useful in understanding vegetation density and assessing changes in plant health. NDVI is calculated as a ratio between the red (R) and near infrared (NIR) values in traditional fashion:

NDVI is calculated in accordance with the following 

generalized formula:

NDVI=(NIR-RED)/(NIR+RED)

Where NIR - reflection in the near-infrared spectrum and RED - reflection in the red range of the spectrum.

 NDVI Formula for

Landsat 4- 7

NDVI=(Band 4-Band 3)/(Band 4+Band 3), 

Landsat 8,

NDVI=(Band 5-Band 4)/(Band 5+Band 4)

NDVI values range ​​from -1.0 to 1.0 representing greens, where negative values ​​are mainly formed from clouds, water and snow, and values ​​close to zero are primarily formed from rocks and bare soil. 

Very small values ​​(0.1 or less) of the NDVI function correspond to empty areas of rocks, sand or snow.

Moderate values ​​(from 0.2 to 0.3) represent shrubs and meadows, while large values ​​(from 0.6 to 0.8) indicate temperate and tropical forests.

NDVI is a measure of the state of plant health based on how the plant reflects light at certain frequencies (some waves are absorbed and others are reflected).

WETLAND AND WATER RESOURCE MODELING AND ASSESSMENT A Watershed Perspective

WETLAND  AND WATER RESOURCE MODELING  AND  ASSESSMENT A Watershed Perspective

Preface: Toward a Watershed Perspective

This is a book about the methods and geospatial techniques for modeling and assessing wetlands and water resources at the watershed scale.The theme of the book, wetland and water resource modeling and assessment, is an active field of research that constantly undergoes theoretical and technical innovations. This book emphasizes a watershed perspective in the modeling and assessment areas. 

Learning Geospatial Analysis with Python

Learning Geospatial Analysis with Python: Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7

This book is for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python. Basic knowledge of digital mapping and analysis using Python or other scripting languages will be helpful.

Author(s): Joel Lawhead

Publisher: Packt Publishing, Year: 2019

ISBN: 1789959276, 978-1789959277

What is Remote Sensing

What is Remote Sensing?

"Remote detecting is the science (and somewhat, specialty) of gaining data about the Earth's surface without really being in contact with it. This is finished by detecting and recording reflected or transmitted Energy what's more, handling, breaking down, and applying that data."

eBook-Multiscale Hydrlogic Remote Sensing-Perspective and Applications

Multiscale Hydrlogic Remote Sensing-Perspective and Applications

Multiscale Hydrlogic Remote Sensing-Perspective and Applications

Contents

Preface ......................................................................................................................ix

About the Editors......................................................................................................xi

Contributors........................................................................................................... xiii

Chapter 1 Toward Multiscale Hydrologic Remote Sensing for Creating Integrated Hydrologic Observatories...................................................1

Ni-Bin Chang and Yang Hong

Part I Local-Scale Hydrological Remote Sensing

Thermal Infrared Remote Sensing

Foreword

Temperature is one of the most important physical environmental variables monitored by Earth observing remote sensing systems. Be it land surface temperature, sea surface temperature, or air temperature, temperature ranges define the boundaries of habitats on our planet. Already thousands of years ago, temperature defined where we humans can settle and survive. Which plant resources are available? What wildlife is present? Which crops can be grown? 

High Spatial Resolution Remote Sensing Data, Analysis, and Applications

Preface

1 INTRODUCTION

High spatial resolution data provide a novel data source for addressing environmental questions with an unprecedented level of detail. These remote sensing data are a result of significant advances in image acquisition platforms and sensors, including satellite, manned aircraft, and unmanned aerial vehicle (UAV) platforms. Furthermore, the recent development of commercially operated satellite platforms with high spatial resolution sensors allows for the collection of a large amount of images at regular time intervals, with relatively large footprints (i.e., image swathes). For example, the WorldView series, with the WorldView-1 satellite launched on September 18, 2007, and WorldView-4 launched on November 11, 2016, are capable of resolving objects at 31 cm in the panchromatic band and at 1.24 m in 4 (or 8)-band multispectral over a 13.1-km-wide swath. 

Digital Image Processing Using MATLAB

Digital Image Processing Using MATLAB

Preface of the Book

This edition of Digital Image Processing Using MATLAB is a major revision of the book. As in the previous edition, the focus of the book is based on the fact that solutions to problems in the field of digital image processing generally require extensive experimental work involving software simulation and testing with large sets of sample images. 

Band combination of Landsat 8 and Example

Band Combination 6,5,2 for Agriculture

Band Combination for Landsat 8

  Band Combination 7,65 (Atmospheric Penetration)

 Color Infrared Band Combination 5, 4, 3  for Vegetation

Band combination for Healthy Vegetation (Band 5, 6, 2)

         Band combination for Land/Water (Band 5, 6, 4)

 Band combination for Atmospheric Removal (Band 7, 5, 3)

 Natural Color Combination (Band 4,3, 2)

 SWIR (Band 7, 5, 4) (Short Wave Infrared-SWIR)

 False Color Composite for Urban Area (Band 7, 6,4)

 Band combination for  Vegetation Analysis (Band 6, 5, 4)

Lineament Extraction from Landsat Image by Geomatica and ArcGIS

How to Extract River Shape file From Landsat Image

In This Tutorial Shows the Process of Extraction of River Shape file From Satellite Image (Such as Landsat) by ArcGIS Software.

Digital Photogrammetry A Practical Course

Download Link Given Below the Text

Contents

Preface 1st edition.............................................................................................V
Preface 2nd edition.........................................................................................VII
Contents .......................................................................................................... IX
1 Introduction ...............................................................................................1
1.1 Basic idea and main task of photogrammetry...........................................1
1.2 Why photogrammetry ?.............................................................................3
1.3 Image sources: Analogue and digital cameras .........................................4
1.4 Digital consumer cameras ........................................................................6
1.5 Short history of photogrammetric evaluation methods .............................7
1.6 Geometric principles 1: Camera position, focal length ............................8

1.7 Geometric principles 2: Image orientation.............................................11
1.8 Geometric principles 3: Relative camera positions (stereo)...................13
1.9 Some definitions......................................................................................15
1.10 Length and angle units..........................................................................16
1.11 A typical workflow in photogrammetry.................................................16

AERIAL PHOTOGRAPHY AND IMAGE INTERPRETATION

CONTENTS
Preface xi 1
Introduction 1

PART 1 GEOMETRY AND PHOTO MEASUREMENTS 25
2 Geometry of a Vertical Aerial Photograph 27
3 Principles of Stereoscopic Vision 44
4 Scale of a Vertical Aerial Photograph 68
5 Horizontal Measurements—Distance, Bearings, and Areas 86
6 Vertical Measurements 105
7 Acquisition of Aerial Photography 131

Multispectral Image Analysis Using the Object-Oriented Paradigm

Preface

This book is intended for students, research scientists, and professionals in the remote sensing industry who have a basic understanding of remote sensing principles, image processing, and applications of remotely sensed data. This book will appeal to users who apply imagery to a variety of mapping applications, including vegetation mapping, identification of man-made structures from imagery, mapping of urban growth patterns, and other applications. I wrote this book keeping in mind users with diverse educational backgrounds. 

Hydrologic Remote Sensing

Capacity Building for Sustainability and Resilience

This book  address the following questions:

1. What are the satellite missions for hydrologic remote sensing measurements?

2. How are the accuracy and uncertainty of the satellite remote sensing estimated in key hydrologic variables such as precipitation, soil moisture, and evapotranspiration?