3 edition of High-resolution land use and land cover mapping found in the catalog.
High-resolution land use and land cover mapping
1999 by U.S. Dept. of the Interior, U.S. Geological Survey in [Reston, Va.? .
Written in English
|Other titles||High resolution land use and land cover mapping|
|Series||USGS fact sheet -- 189-99, Fact sheet (Geological Survey (U.S.)) -- FS 99-189|
|Contributions||Geological Survey (U.S.)|
|The Physical Object|
|Pagination|| p. :|
SWMP Phase III: Land Use, Land Cover, and Habitat Change from 4 years for high resolution mapping to 10 years with a base year identified within two years of ; 2) flexibility in the application of micro-topographic elevation monitoring to inventory of land use and land cover at a base year and changes over time in reserves and. Project Methods Land Cover Estimation (Goal 1) The research we propose is based on the recognized importance of vegetated land cover to mesoscale climate and weather prediction and on the demonstrated ability to estimate areal vegetation fraction directly from Landsat-derived radiance measurements. The procedure we propose provides a systematic .
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High-Resolution Land Use and Land Cover Mapping U.S. Department of the Interior U.S. Geological Survey USGS Fact Sheet November Figure 1: A shaded relief representation of Modeling urban growth in the Albuquerque, N. Mex. Area. The area on the left shows superimposed red polygons derived from urban area land use land cover data.
Genre/Form: Maps: Additional Physical Format: Online version: High-resolution land use and land cover mapping. [Reston, Va.?]: [U.S. Dept. of the Interior, U.S. Land use/land cover (LULC) information in its various forms and products is used as input by numerous users (e.g.
modelers, planners, agricultural researchers, etc.), hence a very wide range of users and target groups should have considerable interest in having such a compilation. The U.S. Geological Survey (USGS) has a long heritage of leadership and innovation in land use and land cover (LULC) mapping that has been the model both nationally and internationally for over 20 years.
At present, the USGS is producing high-resolution LULC data for several watershed and urban areas within the United : U.S.
Geological Survey. Generating land cover maps from satellite images Land cover maps are vitally important to gain a full understanding of the hazardous events and the associated risk.
Land cover is both a contributing factor in assessing the hazard, but it is also important for defining elements-at-risk (such as built-up areas, forests, agricultural areas). Environmental scientists use satellite and aerial imagery to understand patterns of land use, in particular to understand the impacts of climate change and human population expansion on Earth’s natural resources.
However, distilling imagery into actionable data – in the form of land cover maps – currently requires extensive manual annotation. The most obvious change in land cover is the major expansion of agricultural land across most regions of Benin.
Agricultural areas (including plantations and irrigated agriculture) progressed from to percent of the total country area, or an increase of over 5 percent (about sq km) per year between and EARSeL Book Series, Remote Sensing and Digital Image Processing, Volume Thanks to an initiative in during the 4th SIG Workshop in Prague the members and chairmen of the SIG managed to launch in March the “Land Use and Land Cover Mapping in Europe – Practices & Trends“ Book within the EARSeL Book Series, Springer Verlag.
Topics covered include. While the transition from savanna to agriculture constituted the largest land cover change in terms of area, some changes in the smaller land cover categories also stand out as important. High rates of change were observed for settlements, irrigated agriculture, plantation, and open mines, with gains accelerating from 1–2 percent per year.
by Project CEER-GOM. This article examines the land-use and land-cover change in PEDA by using satellite remote sensing and GIS technologies.
The specific objectives were: (i) to identify a High-resolution land use and land cover mapping book for coastal land-use and land-cover mapping; (ii) to apply this method to create a time series of land-use and land-cover. A synthesis of current knowledge in remote sensing of land-use and land-cover science, this book promotes more effective use of Earth observation data and Author: Clément Mallet.
Output of Sample Surveys: Land-Cover and Land-Use Statistics Examples of Land-Cover Mapping Using Sampling Approaches 5. Conclusions Glossary Bibliography Biographical Sketch Summary The paper illustrates different data-collection tools available for gathering primary data on High-resolution land use and land cover mapping book cover and land use.
Special Issue "Advances and Innovations in Land Use/Cover Mapping" High-resolution land use/cover representation and mapping; opinions and data contained in the journal ISPRS International Journal of Geo-Information are solely those of the individual authors and contributors and not of the publisher and the editor(s).
Mapping and Analysis of Land Use and Land Cover for a Sustainable Development Using High Resolution Satellite Images and GIS FIG Working Week Environment for Sustainability Abuja, Nigeria, 6 – 10 May 3/18 pixels‟ spectral and spatial properties.,t is based on a supervised maximum likelihood Size: KB.
Some of the major steps to prepare a LU/LC map on land use/land cover mapping are as follows: The Land use/land cover map (Fig. ) depicts the land use and land cover patterns on the surface of the earth on any desired scale.
Land use refers to man’s activities and the various uses which are carried on land. The book will cover the operational approaches, but also review current state-of-the-art scientific methodologies and recommendations for this field. It opens the view with best-practice examples that lead to a view that exceeds pure mapping, but to investigate into drivers and causes as well as future projections.
Admittedly, the accuracy of a land use land cover map can be affected by many factors such as input data source (optical/multispectral satellites, hyperspectral, very high-resolution optical.
The U.S. Geological Survey Land Cover Trends Project is releasing a – time-series land-use/land-cover dataset for the conterminous United States.
The dataset contains 5 dates of land-use/land-cover data for 2, sample blocks randomly selected within 84 ecological regions. Introduction. Land cover information about the Earth's surface features in terms of their quantity, diversity, and spatial distribution has been identified as one of the crucial data components for many aspects of global change studies and environmental extraction of such information from remotely sensed images is practiced typically through the Cited by: 8.
cover information and correlating to land-use statistics (Jansen &Di Gregorio ). Availability of satellite images with different spatial and temporal resolutions have made it possible to map land cover at different scales and carry out analyses of the changes over last three decades.
Land cover mapping with 30 m resolution at a global scale is much more complex than national or regional scale due to a number of factors, including the availability of good-quality imagery covering the land surface of the entire Earth (about million km 2) and the complex spectral and textual characterization of global landscapes.
This Cited by: High Resolution Land Cover Mapping Chesapeake Conservancy is pioneering the production of high resolution land cover classification data across the Chesapeake Bay watershed.
Our datasets deliver critical information to organizations seeking to identify conservation and restoration priorities at the parcel scale. With 1-meter resolution, these. 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.
Modeled historical land use and land cover for the conterminous United States. The landscape of the conterminous United States has changed dramatically over the last years, with agricultural land use, urban expansion, forestry, and other anthropogenic activities altering land cover across vast swaths of the country.
Land use and land cover (LULC) change plays a key role in the process of land degradation and desertification in the Horqin Sandy Land, Inner Mongolia. This research presents a detailed and high-resolution (30 m) LULC change analysis over the past 16 years in Ongniud Banner, western part of the Horqin Sandy Land.
The LULC classification was performed by combining multiple Cited by: 1. Mapping and identifying land cover/land use and its change is the most important, as well as the most widely researched, topic in remote sensing. Land cover/land use has been used extensively to derive a number of biophysical variables, such as vegetation index, biomass, and carbon content (see other chapters).Cited by: Cost-effective land cover planning and management can be achieved over large areas with remotely-sensed land cover mapping data.
Land cover mapping classifies the current land conditions to a series of land cover categories. Comparing two or more similar land cover classifications can provide insight into change occurring on the landscape.
ISPRS, GEO and other units, GEO/ISPRS international workshop on high resolution global land cover mapping was successfully held in Beijing during AprilThe workshop discussed and exchanged the new progress in global land cover research, data services and verification system.
In particular, introduced the outputs of 30m global land. High Resolution Land Cover/Land Use Mapping of Large Areas– CurrentStatusandUpcomingTrends KLAUS-ULRICH KOMP, Münster Keywords: land use, land cover, monitoring, advanced methodologies, validation Summary: Land use, land cover, and their dynam-ics are of high relevance for geographic research and increasingly interesting for many.
Land ownership, land-cover, and land-use mapping and change analyses of Stellenbosch municipality (Netherlands Government) Berg River catchment land-cover maps of, and (Geography & Environmental Studies, SU) Land-cover mapping for biomass estimation in Kapau region (Zambia) (Peace Parks Foundation) to rapid in time availability high resolution and low cost product.
Remote sensing data in the form of satellite images can be used to study land use/ land cover, to wards preparation of thematic maps depicting various land resources and these maps as an reliable input can be put to a G.I.S.
(geographical information system) is describe natural File Size: 1MB. The methodology combines products of high spatial and temporal resolution to increase the mapping efficiency of land use and land cover (LULC) in the Brazilian Amazon.
Table 1 lists the twelve classes of land uses used this region, which also represent the main types of land use land cover in the by: 9/30/ Landuse and landcover change Encyclopedia of Earth province (by aerial photography, imaging, LiDAR, and by high resolution satellite sensors such as IKONOS and Quickbird), to regional datasets produced at regular intervals from satellites (e.g., Landsat, SPOT), to the lower land use and land cover (thematic mapping File Size: KB.
which land use and land cover types and their bound aries are interpreted. During the past 40 years several surveys, studies, and other projects have successfully demonstrated that remote sensor data are useful for land lise and land cover inventory and mapping. These surveys have contributed to our conCited by: Over the past several years, researchers at the University of Connecticut's Center for Landuse Education and Research (CLEAR) have used Landsat TM and ETM imagery to map land use and land cover change for five dates over a 21 year period () for the state of Connecticut.
While this type of information has proven very valuable to land use decision. Analyzing land use and land cover (LULC) using remote sensing (RS) imagery is essential for many environmental and social applications. The increase in availability of RS data has led to the development of new techniques for digital pattern classification.
ISBN: OCLC Number: Notes: "EARSel"--Cover. Description: 1 online resource: color illustrations: Contents: Remote Sensing in support of the geo-information in Europe --Global land cover mapping: Current status and future trends --The users' role in the current European land monitoring context --Towards an European land cover.
The aim of this study is to analyze the urban land use changes occurred in the central part of Ulaanbaatar, the capital city of Mongolia, from to with a year interval using geographical information system (GIS) and very high-resolution remote sensing (RS) data sets.
As data sources, a large-scale topographic map, panchromatic and multispectral Quickbird Cited by: 5. Landsat 7 Enhanced Thematic Mapper (ETM), Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) images obtained inand with maps, and field survey data were used to classify land use and land cover (LULC) changes over 23 years and predict soil erosion risk locations in the Khlong Kui watershed (73, ha), Prachuap Khiri Author: Patchareeya Chaikaew.
Land and soil underpin life on our planet. The way we currently use these vital and finite resources in Europe is not sustainable. Human activities — growing cities and infrastructure networks, intensive agriculture, pollutants and greenhouse gases released to the environment — transform Europe’s landscapes and exert increasing pressure on land and soil.
In this paper we propose multi-resolution data fusion methods for deep learning-based high-resolution land cover mapping from aerial imagery. The land cover mapping problem, at country-level scales, is challenging for common deep learning methods due to the scarcity of high-resolution labels, as well as variation in geography and quality of input by: 4.A current land cover dataset is a critical element in research and establishing scientifically based management plans.
Land cover data describes the types of land cover across the state (i.e., agricultural lands, forests, grassland, urban areas, wetlands, and water bodies). Understanding land cover types and patterns is important for assessing. The USGS Land Cover Institute (LCI) is a focal point for advancing the science, knowledge, and application of land use and land cover information.
The USGS and other agencies and organizations have produced land cover data to meet a wide variety of spatial needs. The USGS LCI has been established to provide access to, and scientific and.