عنوان

Remote sensing of vegetation :

شابک

3658251204

شابک

9783658251208

شابک اشتباه

3658251190

شابک اشتباه

9783658251192

عنوان اصلي

Remote sensing of vegetation :

نام عام مواد

[Book]

ساير اطلاعات عنواني

along a latitudinal gradient in Chile /

نام نخستين پديدآور

Christian Julian Bödinger.

محل نشرو پخش و غیره

Wiesbaden, Germany :

نام ناشر، پخش کننده و غيره

Springer Spektrum,

تاریخ نشرو بخش و غیره

2019.

نام خاص و کميت اثر

1 online resource (xxiii, 108 pages) :

ساير جزييات

illustrations

عنوان فروست

BestMasters,

شاپا ي ISSN فروست

2625-3577

متن يادداشت

Includes bibliographical references.

متن يادداشت

Intro; Foreword; Acknowledgements; Introduction of the Work Group; Table of Contents; List of Figures; List of Tables; Abbreviations; Abstract; Zusammenfassung; 1 Introduction; 2 State of Research; 2.1 The EarthShape Program; 2.2 Previous Work & Research Gaps; 2.3 Study Objectives; 3 Study Areas; 3.1 Pan De Azúcar; 3.2 Santa Gracia; 3.3 La Campana; 3.4 Nahuelbuta; 4 Data & Methods; 4.1 Data; 4.1.1 Sentinel Optical and Radar Data; 4.1.2 TanDEM-X DEM; 4.1.3 Training & Validation Data; 4.1.4 Landsat Surface Reflectance; 4.2 Methods; 4.2.1 Sentinel Preprocessing

متن يادداشت

4.2.2 Derivation of Terrain Variables4.2.3 GLCM; 4.2.4 Spectral Vegetation Indices; 4.2.5 Land Cover Classes; 4.2.6 Machine Learning; 4.2.7 Accuracy Assessment; 4.2.8 Time series Analysis; 5 Results; 5.1 Comparison of Topographic Corrections; 5.2 Class Separability; 5.3 Classification Accuracy; 5.3.1 Impact of the Classifier; 5.3.2 Impact of Topographic Correction and DEM; 5.4 Final LULC Maps; 5.5 Variable Importance; 5.6 Time Series Analysis; 5.6.1 Catchment-wide Analysis; 5.6.2 Height-specific Analysis; 5.6.3 Class-wise Analysis; 5.7 Summary & Interpretation of Results; 6 Discussion

متن يادداشت

6.1 Hypothesis 16.2 Hypothesis 2; 6.3 Hypothesis 3; 7 Conclusions & Outlook; References

بدون عنوان

0

بدون عنوان

8

بدون عنوان

8

متن يادداشت

How is the vegetation distribution influencing the erosion and surface formation in the different eco zones of Chile? To answer this question, it is mandatory to possess fundamental knowledge about plant species habitats, occurrence and their dynamics. In his study Christian Bödinger utilizes satellite imagery in combination with machine learning to derive maps of land use and land cover (LULC) in four study sites along a climatic gradient and to monitor vegetation using monthly Normalized Difference Vegetation Index (NDVI) time series. The findings contribute to a better understanding of climate impacts on Chilean vegetation and serve as a basis of landscape evolution models. Contents TanDEM-X DEM, Sentinel Optical and Radar Data, Landsat Surface Reflectance Machine Learning Using SVMs and Random Forest Statistical Time-Series Evaluation Maps of Land Use and Cover (LULC) Time-Series Showing the Impact of ENSO Target Groups Scientists, lecturers and students in the field of geology and ecology Geoscientists and Ecologists with a focus on remote sensing About the Author Christian Bödinger holds a M. Sc. in Physical Geography from the University of Tübingen, Germany. His focus in research lies on remote sensing and image analysis for environmental applications. He is currently working for a company focusing on aquatic remote sensing.

عنوان

Remote sensing of vegetation.

شماره استاندارد بين المللي کتاب و موسيقي

9783658251192

موضوع مستند نشده

Geoinformatics.

موضوع مستند نشده

Plants-- Geographic information systems-- Chile.

موضوع مستند نشده

Geoinformatics.

موضوع مستند نشده

Plants-- Geographic information systems.

موضوع مستند نشده

Chile.

بدون عنوان

7

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Bödinger, Christian Julian

تاريخ عمليات

20200823183418.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y