International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.最新文献

{"title":"Remote sensing methods for mapping the onset and progression of spartina alterniflora marsh dieback in coastal louisiana","authors":"A. Rangoonwala, E. Ramsey, G. Nelson","doi":"10.1109/AMTRSI.2005.1469873","DOIUrl":"https://doi.org/10.1109/AMTRSI.2005.1469873","url":null,"abstract":"We investigated the use of remote sensing in mapping the occurrence and monitoring the progression of a marsh dieback phenomenon observed in coastal Louisiana. Within our investigation, we demonstrated that the early and later stages of dieback progression were generally associated with green and red edge leaf reflectance changes and trends, while the later stages of marsh impact were represented by trends in blue and red leaf reflectance. Near infrared (nir) leaf reflectance trends were inconclusive while relative changes in predicted leaf carotene and chlorophyll were indicative of stressed plants. The nir/red ratio followed blue and red reflectance trends while the nir/green ratio mimicked the green and red edge reflectance trends indicating impact onset and progression as well as indicating later stages of impact. The nir/green also provided a convenient method to determine the relative time since dieback onset and offered an operational solution that would be amenable for current operational satellite remote sensing, Following our successful linkage of leaf optical changes to marsh dieback onset and progression, we applied our newly developed methods to changes in site-specific canopy reflectance spectra. Canopy reflectance spectra (~20 m ground resolution gained from a helicopter platform) were collected from marsh sites occupied during the leaf spectral analyses and sites exhibiting visual signs of dieback. Two scales of analyses were employed. One represented whole-spectra hyperspectral sensors such as the NASA EO1 Hyperion and the other broadband spectral sensors such as the NASA EO1 Advanced Land Imager and the Landsat Enhanced Thematic Mapper (limited to about 400 nm to 1000 nm). Spectral indicators generated in the whole-spectra analysis were used to determine the percent dead and healthy marsh composition at each site. The compositions were used classified into groups of marsh sites exhibiting similar levels of dieback. Separately, blue, green, red, red-edge, and near infrared (nir) spectral bands extracted from the field spectra and nir/green and nir/red band transforms were related to marsh dieback and progression indicators calculated from classifications of the 35- mm slides collected with the canopy reflectance recordings. Both the whole spectra and broadband spectral indicators could distinguish differences in (1) healthy marsh, (2) live marsh impacted by dieback, and (3) dead marsh. Broadband indicators provided some determination of dieback progression within the impacted live marsh while whole spectra hyperspectral indicators offered increased discrimination of dieback onset and progression. I. INTRODUCTION Areas of marsh dieback, commonly termed \"brown marsh,\" were first observed in parts of Texas and Florida and throughout coastal Louisiana in the spring of 2000. At dieback sites, the normally dense and healthy intertidal salt marshes mostly composed of Spartina alterniflora or smooth cordgrass rapidly browned, and many ul","PeriodicalId":302923,"journal":{"name":"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130299003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of current field plots and lidar 'virtual' plots as guides to classification procedures for multitemporal analysis of historic and current landsat data for determining forest age classes","authors":"W. Cooke, C. Prabhu, R. Wallis, J. Morris, B. Smith, J. Gilreath","doi":"10.1109/AMTRSI.2005.1469842","DOIUrl":"https://doi.org/10.1109/AMTRSI.2005.1469842","url":null,"abstract":"Euclidean distance measures and Landsat ETM+ band combinations and transformations are tested for their usefulness in classification of volume. Field plots are used for training and validation. Early results indicate that a Euclidean distance of 18 optimizes classification accuracies for volume. Tests for optimal band combinations were inconclusive.","PeriodicalId":302923,"journal":{"name":"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133485435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-latitude winds from molniya orbit - a mission concept for NASA's Earth system science pathfinder program","authors":"L. Riishojgaard","doi":"10.1109/AMTRSI.2005.1469853","DOIUrl":"https://doi.org/10.1109/AMTRSI.2005.1469853","url":null,"abstract":"The successful application of winds from MODIS in global assimilation and forecast systems has demonstrated that high-latitude wind observations can have a very substantial impact on forecast. The positive impact of these winds generally extends well into the lower latitudes, and the impact tends to be largest when the forecast skill is lowest. Much of the success of the MODIS winds is attributed to the 6.7μ water vapor channel imagery that provides the vast majority of the wind vectors. In this light, it is unfortunate that after the end of the MODIS mission in 2008, high-latitude water vapor imagery will not be available until at least the 2014/2015 timeframe. A meteorological imager launched in a Molniya orbit would be a natural MODIS follow-on mission from a satellite winds perspective. The Molniya orbit is a highly eccentric orbit with a stable high-latitude apogee. Due to the second Kepler law of planetary motion, the satellite spends about two thirds of the time near its apogee where it provides a quasi-geostationary perspective centered over the high latitudes. This will allow us to extend the time-continuous imagery coverage all the way to the pole and will enable the nearreal time (60 minutes or better) dissemination of high-latitude winds and other derived products based on high refresh rate imagery, including one or more water vapor channels.","PeriodicalId":302923,"journal":{"name":"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131799324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hyper-temporal radarsat SAR data of a forested terrain","authors":"R. Sharma, D. Leckie, D. Hill, B. Crooks, A. S. Bhogal, P. Arbour, S. D’Eon","doi":"10.1109/AMTRSI.2005.1469843","DOIUrl":"https://doi.org/10.1109/AMTRSI.2005.1469843","url":null,"abstract":"A hyper-temporal dataset of 97 Radarsat C-Band SAR imagery (acquired during 1996-2004) and supporting ground data over an established test site at Petawawa Research Forest was assembled and used to examine the characteristics of multitemporal radar data. Consistent data sets can be created but the backscatter pattern over time can be strongly influenced by different environmental and phenological conditions. In this paper, the backscatter from different forest types and open areas were examined. Factors such as freezing temperatures, rain wetting, dew, wet snow, phenological condition and flooding cause anomalies and changes in backscatter pattern that affect applications such as land cover typing, temporal filtering, detecting changes and identifying specific ecological niches.","PeriodicalId":302923,"journal":{"name":"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128251861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Selection of multi-temporal scenes for the Mississippi Cropland data layer, 2004","authors":"F. L. Shore, T. L. Gregory, R. Mueller","doi":"10.1109/AMTRSI.2005.1469838","DOIUrl":"https://doi.org/10.1109/AMTRSI.2005.1469838","url":null,"abstract":"This paper describes the use of the National Agricultural Statistics Services remote sensing methodology to compare three multi-temporal scene-processing scenarios of the Mississippi Delta Region to produce the Mississippi Cropland Data Layer for 2004. The Mississippi Cropland Data Layer Program, initially started in 1999, uses medium resolution satellite imagery, random sample selection of fields, and field data to produce crop acreage estimates and a categorized data layer of the state showing the land use. The focus is on the major field crops and allows a visualization of the entire State of Mississippi land use by year when cloud-free imagery is available. The results for the three multi-temporal strategies show use of 2004 Landsat 5 scenes moderately early (5/6/04) and late (9/27/04) in the season give the superior classification for the Mississippi Delta and the 2004 Cropland Data Layer based on multi-temporal classification statistics and observation of the classified images. On the Mississippi Department of Agriculture and Commerce web site (http://www.mdac.state.ms.us/) you can currently see the changes in Mississippi farming per year from 1999 to 2003. In July 2005, the 2004 data will be added. The Cropland Data Layer results compare favorably with the official NASS Mississippi crop estimates for the major field crops in 19992004. Keywords-component; Landsat 5; Cropland Data Layer; Mississippi Delta; multi-temporal; crop acreage estimate","PeriodicalId":302923,"journal":{"name":"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127376293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Use of landsat tm to detect change in tropical forest types after fire Huai Kha Khaeng Wildlife Sanctuary, Thailand","authors":"L. Johnson, E. G. Johnson, J. Iisaka, G. Easson","doi":"10.1109/AMTRSI.2005.1469834","DOIUrl":"https://doi.org/10.1109/AMTRSI.2005.1469834","url":null,"abstract":"Multitemporal change detection was undertaken to investigate whether tropical evergreen forests in Huai Kha Khaeng Sanctuary, Thailand have declined as a result of wildfire. Unsupervised isodata classification was performed on four dry- season Landsat images. Two of the images, 1989 and 2000, were found to be radiometrically comparable with similar cluster classes identified and a near equidistant shift between cluster class means. Image spectral class recoding and subsequent union operation between the two images produced 36 change classes. Results show a significant net change of 14% between spectral classes of significance. The change detection process maps a clear decline in the area of evergreen forest and a shift to deciduous forest types.","PeriodicalId":302923,"journal":{"name":"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.","volume":"737 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122948619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A mined sand dune revegetation sequence in Myall Lakes, N.S.W., Australia","authors":"J. Yague, P. García","doi":"10.1109/AMTRSI.2005.1469840","DOIUrl":"https://doi.org/10.1109/AMTRSI.2005.1469840","url":null,"abstract":"Mineral Deposits Pty. Ltd., exploited rutile and zircon deposits laying in Bridge Hill Ridge between 1974 and 1983, after which the area was included in the Myall Lakes National Park; the mine lays about 280 km north of Sydney, in the central coast of NSW. The newest vegetation on the mine site is well over ten years old and the whole site now exhibits the characteristics of an immature forest ecosystem that, in the future, it will show little evidence of past mining depletion although sound studies have demonstrated that vegetation recovery has not yet been achieved in the mineral sands industry in NSW. Multitemporal EO imagery is processed in this study to follow up and quantify the recovery sequence experienced in Bridge Hill Ridge at the level of botanical associations.","PeriodicalId":302923,"journal":{"name":"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114178245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multitemporal analysis of NDVI and land surface temperature for modeling the probability of forest fire occurrence in central Mexico","authors":"L. Manzo-Delgado, S. Sánchez-Colón, R. Álvarez","doi":"10.1109/AMTRSI.2005.1469866","DOIUrl":"https://doi.org/10.1109/AMTRSI.2005.1469866","url":null,"abstract":"Forest fire induce drastic, and sometimes extensive changes in the landscape. Data from the Advanced Very High Resolution Radiometer (AVHRR) operated by NOAA have been used in several studies of forest fire. Their features allow detection of active fires as hot-spots, the monitoring of vegetation condition, and estimation of land surface temperature (LST). Multitemporal analysis of Normalized Difference Vegetation Index (NDVI) and LST calculated from NOAA-AVHRR14 in the course of the four months (November to February) previous to the fire seasons (March to May) for the period 1996–2000 allowed to identify a set of the dynamic predictive variables by constructing a logistic model to assess the risk of forest fire over the central region of Mexico. Actual forest fires were detected as hot-spots on nighttime NOAA-AVHRR 14 images from the four fire seasons (March to May) from 1997 to 2000. In addition, elevation, aspect, slope, vegetation type, and precipitation were selected as the static predictive variables of the model. The data base included 846 fires and 869 random non-fire points from 1997–1999. During 2000 There were 143 forest fires, which were used to assess the accuracy of the model.","PeriodicalId":302923,"journal":{"name":"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.","volume":"228 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115231768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The application of the getis statistic to high resolution imagery to detect change in the spatial structure of submerged tropical corals between image dates","authors":"E. LeDrew, A. Lim","doi":"10.1109/AMTRSI.2005.1469876","DOIUrl":"https://doi.org/10.1109/AMTRSI.2005.1469876","url":null,"abstract":"We have been involved in an International Collaboration sponsored by the World Bank to analyze the capabilities of current and projected remote sensing systems for providing credible information on submerged tropical coral reefs that can be of value to the coastal management community. A major issue is the identification of change that may be attributed to natural or anthropogenic stress. In this study we report on an experiment to determine whether high spatial resolution imagery may provide the level of detail that may be relevant to this study. We approach the problem by identifying that change has occurred between sequential images using a spatial operator that does not require in situ measurement of water column attenuation or bathymetry.","PeriodicalId":302923,"journal":{"name":"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125862146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Use and analysis of temporal map algebra for vegetation index compositing","authors":"P. Mali, C. O'Hara, B. Shrestha, V. Vijayaraj","doi":"10.1109/AMTRSI.2005.1469847","DOIUrl":"https://doi.org/10.1109/AMTRSI.2005.1469847","url":null,"abstract":"Temporal image cubes are created using co-registered temporal image data sets as ordered stacks of bands within a multi-band image. These may be manipulated and analyzed using new temporal map algebra (TMA) functions that extend normal raster map algebra from operating on a single raster band to operating on one, many, or all bands within the temporal image cube. Temporal image cubes can be constructed to encode attribute information such as image quality, scan angle, or other attribute per each pixel. Multiple cubes may be utilized to manipulate image data and generate model-specific results. Low resolution imagery such as NOAA-AVHRR and MODIS require the use maximum value compositing (MVC) that consider local pixel values in time series multi-temporal NDVI image cube. Using temporal map algebra multiple criteria may be imposed on attribute cubes to create masks cubes that can select from temporal image cubes only those specific pixels that meet scan angle, quality, or other user-defined criteria. After reducing the image data to only the desired pixels, local and focal functions may be employed to create custom composites for specific temporal intervals.","PeriodicalId":302923,"journal":{"name":"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125890692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}