Download or read book Monitoring Spatio temporal Dynamics of Land Cover Changes for Bolivian Land Tenure Reform Using MODIS Remote Sensing Images written by P. Argandona Aramayo and published by . This book was released on 2010 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Remote Sensing of Land Use and Land Cover in Mountain Region written by Duo Chu and published by Springer. This book was released on 2019-08-07 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the spatial and temporal dynamics of land use and land cover in the central Tibetan Plateau during the last two decades, based on various types of satellite data, long-term field investigation and GIS techniques. Further, it demonstrates how remote sensing can be used to map and characterize land use, land cover and their dynamic processes in mountainous regions, and to monitor and model relevant biophysical parameters. The Tibetan Plateau, the highest and largest plateau on the Earth and well known as “the roof of the world,” is a huge mountainous area on the Eurasian continent and covers millions of square kilometers, with an average elevation of over 4000 m. After providing an overview of the background and an introduction to land use and land cover change, the book analyzes the current land use status, dynamic changes and spatial distribution patterns of different land-use types in the study area, using various types of remotely sensed data, digital elevation models and GIS spatial analysis methods to do so. In turn, it discusses the main driving forces, based on the main physical environment variables and socioeconomic data, and provides a future scenario analysis of land use change using a Markov chain model. Given its scope, it provides a valuable reference guide for researchers, scientists and graduate students working on environmental change in mountainous regions around the globe, and for practitioners working at government and non-government agencies.

Download or read book Historical Land Use Land Cover Classification Using Remote Sensing written by Wafi Al-Fares and published by Springer Science & Business Media. This book was released on 2013-06-25 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the development of remote sensing techniques focuses greatly on construction of new sensors with higher spatial and spectral resolution, it is advisable to also use data of older sensors (especially, the LANDSAT-mission) when the historical mapping of land use/land cover and monitoring of their dynamics are needed. Using data from LANDSAT missions as well as from Terra (ASTER) Sensors, the authors shows in his book maps of historical land cover changes with a focus on agricultural irrigation projects. The kernel of this study was whether, how and to what extent applying the various remotely sensed data that were used here, would be an effective approach to classify the historical and current land use/land cover, to monitor the dynamics of land use/land cover during the last four decades, to map the development of the irrigation areas, and to classify the major strategic winter- and summer-irrigated agricultural crops in the study area of the Euphrates River Basin.

Download or read book Remote Sensing for Monitoring Regional Carbon Dynamics Associated with Land Cover and Land Use Change Along the Mesoamerican Biological Corridor written by Daniel J. Hayes and published by . This book was released on 2007 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: As an important regional case study among global-wide efforts to understand land cover and land use change and its effects on terrestrial carbon dynamics, the objective of this research was to develop and test models based on high temporal frequency MODIS data for monitoring land cover changes and modeling associated carbon flux over tropical Central America. The first chapter introduces the issue involved with the development of a methodology for scaling observations of changes in tropical forest cover to large areas at high temporal frequency from coarse resolution satellite imagery. The approach for estimating proportional forest cover change as a continuous variable was based on a regression model that relates multi-spectral, multi-temporal MODIS data, transformed to optimize the spectral detection of vegetation changes, to reference change data sets derived from a Landsat data record for an individual study site. Chapter 2 reports on a series of fundamental analyses designed to test and compare the utility of various MODIS data and products for expanding the forest cover change models over multiple study sites and time periods. The study described in Chapter 3 integrates satellite-derived data sets on land cover and land use change with field-based parameters on terrestrial carbon stocks and flux in a simple accounting model to track carbon dynamics associated with these changes.

Download or read book Advancing the Methodologies for Mapping Land Cover Trajectories Using MODIS Time Series Data written by Shanshan Cai and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Land use and land cover change (LULCC) through the modification of the Earth's land surface over time, highlights a series of interactions between human and the physical environment. Those changes can alter ecosystem services, contribute to climate change, and affect the coupled human-environment system. Studying spatial and temporal dynamics of LULCC is crucial to project future changes and potential environmental and social impacts, and build up scientific fundamentals of sustainable development methods for human beings. An in-depth understanding of LULCC requires timely and accurate monitoring of the changes at various spatial and temporal extents. Because of the advantages of consistent and repeatable procedures, remotely sensed data has become the preferred method in past decades for monitoring land use and land cover dynamics. In particular, the Moderate Resolution Imaging Spectroradiometer (MODIS) has provided image observations over global land surface nearly daily since 1999, and offers a capable vehicle for addressing detailed LULCC. With the growing availability of remotely sensed image data, LULCC studies require development of robust methods for monitoring land cover dynamics.

Download or read book Advances in characterizing and monitoring land cover use and associated ecosystem changes using remote sensing data written by George Xian and published by Frontiers Media SA. This book was released on 2024-01-09 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Earth Observation of Global Change written by Emilio Chuvieco and published by Springer Science & Business Media. This book was released on 2007-11-09 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Global Change is increasingly considered a critical topic in environmental research. Remote sensing methods provide a useful tool to monitor global variables, since they provide a systematic coverage of the Earth’s surface, at different spatial, spectral and temporal resolutions. This book offers an analysis of the leading missions in global Earth observation, and reviews the main fields in which remote sensing methods are providing vital data for global change studies.

Download or read book Land Cover Change and Remote Sensing Examples of Quantifying Spatiotemporal Dynamics in Tropical Forests written by and published by . This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Towards an Innovative Remote Sensing Tool for Tropical Forest Change Monitoring by Integrating Spatial Segments and Time Series Analysis written by J. González de Tánago Meñaca and published by . This book was released on 2012 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: The net tropical forest carbon emission still remains uncertain, challenging the REDD+ monitoring system. This uncertainty is extensively related to the uncertainties in the estimations of the forest cover loss, the extent and intensity of forest degradation events, and the reforestation and regrowth rate. Complex spatiotemporal analysis techniques are needed to improve both spatially and temporally the estimation precision of the forest cover changes on tropical areas. Many remote sensing techniques have been developed to detect Land Cover Changes (LCC), including recent object based approaches exploiting the advantage of extracting changes in their spatial context. However, these previous works have been applied in a limited temporal scale, mostly bi-temporal or reduced multi-temporal image comparison (only few observation dates). In contrast, emerging LCC analysis approaches exploit the full temporal information of land cover dynamics provided by remote sensing dense time series, though they have been mostly applied in a pixel-based approach. Only little research has been done combining both approaches. This MSc. thesis explored the potential of spatiotemporal segmentation and time series analysis. First, LCC was estimated from Landsat time series by the Iterative Reweighted Multivariate Alteration Detection algorithm (iMAD) and spatiotemporal segments were delineated extracting LCC objects. Second, a time series analysis by the mean of the “Break For Additive Seasonal and Trend” (BFAST) algorithm over the LCC segments was performed for characterizing the temporal pattern of the segments. Finally, the information provided by both analysis was integrated for classifying the segments. This spatial and temporal information integration enhanced the capabilities of characterization of the spatial and temporal dynamics of tropical forest disturbances, contributing to increase the understanding of the immediate and long term implications of human activities over the tropical forest. Data abundance was found to be of major importance. Forest and non-forest related land cover changes within the study area have been detected producing satisfactory results. Especially the relations of segments and temporal profile’s need to be further analyzed by making use of multi-temporal change detection products and well framed multivariate analysis.

Download or read book Contributions of Land Remote Sensing for Decisions About Food Security and Human Health written by National Research Council and published by National Academies Press. This book was released on 2007-01-13 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Land remote sensing: the use of space-based satellite technologies to obtain information on environmental variables such as land-use and land-covering combination with other types of data can provide information on changes in the Earth's surface and atmosphere that are critical for forecasting and responding to human welfare issues, such as disease outbreaks, food shortages, and floods. This book summarizes a workshop on the potential contributions of remotely sensed data to land-use and land-cover change and ways to use physical, biological, temporal, and social characteristics of particular locations to support decisions about human welfare. The discussions focused on human health and food security, two aspects of human welfare in which remotely-sensed environmental conditions play a key role. Examples illustrating the possibilities for applying remote sensing for societal benefit are included throughout the report. As a result of the workshop, three themes were identified that, if fostered, could help realize the potential for the application of land remote sensing to decisions about human welfare: (1) integration of spatial data on environmental conditions derived from remote sensing with socioeconomic data; (2) communication between remote sensing scientists and decision makers to determine effective use of land remote sensing data for human welfare issues; and (3) acquisition and access to long-term environmental data and development of capacity to interpret these data.

Download or read book Remote Sensing of African Mountains written by Samuel Adelabu and published by Springer Nature. This book was released on 2022-08-30 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume focuses on the use of remote sensing techniques to assess and monitor mountainous ecosystems in Africa, with a focus on tracking changes related to climate change and human activity. The book is timely, as the interaction of mountain environmental dynamics with conservation and sustainability is an under-researched issue. The chapters in this volume use remotely sensed data to study a variety of topics related to mountains and their ecosystems, including but not limited to vegetation, energy systems, environmental hazards, ecosystem services, diseases, climatic shifts, geological formations and geomorphological dynamics. The ability to monitor, assess and analyze mountainous regions is aided by the availability of remote sensing products such as optical and microwave sensors and low-cost unmanned aerial vehicles (UAVs). The works presented here push the frontier of knowledge on mountain studies and will help shape local, national and global assessments and policies, including efforts toward the achievement of the African Agenda 2063. The book will be of interest to researchers and students in remote sensing, geography, ecology and sustainability, as well as to government organizations and conservation specialists.

Download or read book Land Use and Land Cover Change written by J. Omar Torrico Sejas and published by . This book was released on 2013 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Operational Monitoring of Land cover Change Using Multitemporal Remote Sensing Data written by John Rogan and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Multitemporal Earth Observation Image Analysis written by Clément Mallet and published by John Wiley & Sons. This book was released on 2024-08-20 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Earth observation has witnessed a unique paradigm change in the last decade with a diverse and ever-growing number of data sources. Among them, time series of remote sensing images has proven to be invaluable for numerous environmental and climate studies. Multitemporal Earth Observation Image Analysis provides illustrations of recent methodological advances in data processing and information extraction from imagery, with an emphasis on the temporal dimension uncovered either by recent satellite constellations (in particular the Sentinels from the European Copernicus programme) or archival aerial images available in national archives. The book shows how complementary data sources can be efficiently used, how spatial and temporal information can be leveraged for biophysical parameter estimation, classification of land surfaces and object tracking, as well as how standard machine learning and state-of-the-art deep learning solutions can solve complex problems with real-world applications.

Download or read book Monitoring Deforestation Land Cover Change in the Santa Cruz Region of Bolivia Using Landsat Satellite Imagery written by J. Nugteren and published by . This book was released on 2014 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Monitoring Cloud prone Complex Landscapes at Multiple Spatial Scales Using Medium and High Resolution Optical Data written by Bikash Basnet and published by . This book was released on 2015 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Tracking land surface dynamics over cloud-prone areas with complex mountainous terrain and a landscape that is heterogeneous at a scale of approximately 10 m, is an important challenge in the remote sensing of tropical regions in developing nations, due to the small plot sizes. Persistent monitoring of natural resources in these regions at multiple spatial scales requires development of tools to identify emerging land cover transformation due to anthropogenic causes, such as agricultural expansion and climate change. Along with the cloud cover and obstructions by topographic distortions due to steep terrain, there are limitations to the accuracy of monitoring change using available historical satellite imagery, largely due to sparse data access and the lack of high quality ground truth for classifier training. One such complex region is the Lake Kivu region in Central Africa. This work addressed these problems to create an effective process for monitoring the Lake Kivu region located in Central Africa. The Lake Kivu region is a biodiversity hotspot with a complex and heterogeneous landscape and intensive agricultural development, where individual plot sizes are often at the scale of 10m. Procedures were developed that use optical data from satellite and aerial observations at multiple scales to tackle the monitoring challenges. First, a novel processing chain was developed to systematically monitor the spatio-temporal land cover dynamics of this region over the years 1988, 2001, and 2011 using Landsat data, complemented by ancillary data. Topographic compensation was performed on Landsat reflectances to avoid the strong illumination angle impacts and image compositing was used to compensate for frequent cloud cover and thus incomplete annual data availability in the archive. A systematic supervised classification, using the state-of-the-art machine learning classifier Random Forest, was applied to the composite Landsat imagery to obtain land cover thematic maps with overall accuracies of 90% and higher. Subsequent change analysis between these years found extensive conversions of the natural environment as a result of human related activities. The gross forest cover loss for 1988-2001 and 2001- 2011 periods was 216.4 and 130.5 thousand hectares, respectively, signifying significant deforestation in the period of civil war and a relatively stable and lower deforestation rate later, possibly due to conservation and reforestation efforts in the region. The other dominant land cover changes in the region were aggressive subsistence farming and urban expansion displacing natural vegetation and arable lands. Despite limited data availability, this study fills the gap of much needed detailed and updated land cover change information for this biologically important region of Central Africa. While useful on a regional scale, Landsat data can be inadequate for more detailed studies of land cover change. Based on an increasing availability of high resolution imagery and light detection and ranging (LiDAR) data from manned and unmanned aerial platforms (

Download or read book Multi Temporal Land Cover Change Monitoring of the Western Gambia Using Remote Sensing written by 陳繼藩 and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: