IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium最新文献_第2页

Carbon dynamics in northern forests using SIR-C/X-SAR imagery 基于SIR-C/X-SAR图像的北方森林碳动态

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516409

K. Bergen, M. Dobson, Leland Pierce

{"title":"Carbon dynamics in northern forests using SIR-C/X-SAR imagery","authors":"K. Bergen, M. Dobson, Leland Pierce","doi":"10.1109/IGARSS.1996.516409","DOIUrl":"https://doi.org/10.1109/IGARSS.1996.516409","url":null,"abstract":"A key large-scale question in ecology is the amount of carbon stored in terrestrial vegetation. The need to determine this over large regions is most efficiently met by remote sensing programs and is currently being tested using SIR-C/X-SAR imagery at the NASA Michigan Forests supersite. There are three goals in the present study. The first is to estimate carbon stored in living vegetation at the site. The second is to measure changes in carbon balance related to forest disturbance (clearcutting and thinning). The third is to determine carbon gain from annual growth (NPP). Biomass has been mapped in the image domain, and by applying an allometric relationship, results show that 12.82/spl times/10/sup 9/ kg of carbon are stored in the portion of the test site represented in the imagery. Clearcuts which were made between SRL-1 and SRL-2 have been extracted from the classified imagery and this analysis shows an estimated 300 ha of forest or 6.02/spl times/10/sup 6/ kg of carbon were removed. Ground data have been analyzed for annual growth; SIR-C/X-SAR images are currently being processed to demonstrate the sensor's sensitivity to this parameter.","PeriodicalId":190696,"journal":{"name":"IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121242414","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}

引用次数: 1

Phase B and breadboard results for the TOPEX POSEIDON FOLLOW-ON mission TOPEX POSEIDON后续任务的B阶段和面包板结果

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516314

L. Rey, N. Suinot, P. Oudart, G. Carayon

引用次数: 2

ART neural networks for remote sensing: vegetation classification from Landsat TM and terrain data 遥感ART神经网络:基于Landsat TM和地形数据的植被分类

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516393

G. Carpenter, M. Gjaja, S. Gopal, C. Woodcock

{"title":"ART neural networks for remote sensing: vegetation classification from Landsat TM and terrain data","authors":"G. Carpenter, M. Gjaja, S. Gopal, C. Woodcock","doi":"10.1109/IGARSS.1996.516393","DOIUrl":"https://doi.org/10.1109/IGARSS.1996.516393","url":null,"abstract":"A new methodology for automatic mapping from Landsat Thematic Mapper (TM) and terrain data, based on the fuzzy ARTMAP neural network, is developed. System capabilities are tested on a challenging remote sensing classification problem, using spectral and terrain features for vegetation classification in the Cleveland National Forest. After training at the pixel level, system capabilities are tested at the stand level, using sites not seen during training. Results are compared to those of maximum likelihood classifiers, as well as back propagation neural networks and K Nearest Neighbor algorithms. ARTMAP dynamics are fast, stable, and scalable, overcoming common limitations of back propagation, which did not give satisfactory performance. Best results are obtained using a hybrid system based on a convex combination of fuzzy ARTMAP and maximum likelihood predictions. Fuzzy ARTMAP automatically constructs a minimal number of recognition categories to meet accuracy criteria. A voting strategy improves prediction by training the system several times on different orderings of an input set. Voting assigns confidence estimates to competing predictions.","PeriodicalId":190696,"journal":{"name":"IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121374233","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}

引用次数: 230

Duct detection over the sea by TRANSIT measurements 通过TRANSIT测量对海上管道进行探测

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516343

K. Gaikovich, A. N. Bogaturov, A. Gurvich, S. Kashkarov, S.N. Krivonozhkin, B.M. Shevtcov, V. Ivanov, V.D. Freylikher

引用次数: 0

Performance analysis for the SeaWinds scatterometer 海风散射计的性能分析

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516698

D. Long, M. Spencer

引用次数: 2

Expected errors in satellite-derived estimates of the high latitude surface radiation budget 卫星估算高纬度地表辐射收支的预期误差

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516427

J. Key, R. Stone, A. Schweiger

{"title":"Expected errors in satellite-derived estimates of the high latitude surface radiation budget","authors":"J. Key, R. Stone, A. Schweiger","doi":"10.1109/IGARSS.1996.516427","DOIUrl":"https://doi.org/10.1109/IGARSS.1996.516427","url":null,"abstract":"An analysis of the spatial and temporal variations of the polar radiation budget will undoubtedly require the use of multi-spectral satellite data. How well we can estimate the radiation balance depends on how well we can estimate the physical and microphysical properties of the surface and atmosphere that directly affect it; e.g., surface temperature and albedo, cloud particle effective radius, cloud optical depth, cloud thickness and cloud height. However, the retrieval of cloud and surface parameters is particularly problematic at high-latitudes. The authors examine their current ability to retrieve these geophysical parameters using visible and thermal satellite data, in particular the Advanced Very High Resolution Radiometer (AVHRR) on-board the NOAA polar-orbiting satellites. Both empirical and theoretical methods used in their retrieval are briefly described and the expected accuracy for each of these parameters is quantified. On the basis of their uncertainty analysis they speculate on the utility of estimating radiative fluxes derived from satellite data for the study of climate change in polar regions.","PeriodicalId":190696,"journal":{"name":"IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127358529","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}

引用次数: 9

Model-based technique for super resolution and enhanced target characterization using a step-frequency radar: a simulation study 基于模型的步进频率雷达超分辨率和增强目标表征技术:仿真研究

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516823

S. Chakrabarti, P. Kannagaratnam, P. Gogineni

引用次数: 1

A multitemporal land-cover change analysis tool using change vector and principal components analysis 基于变化向量和主成分分析的多时相土地覆盖变化分析工具

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516790

G.A. Parra, M. Mouchot, C. Roux

引用次数: 18

Vegetation obscuration effects on mid-infrared laser reflectance of soil 植被遮挡对土壤中红外激光反射率的影响

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516368

B. Guenther, R. Narayanan

引用次数: 0

KidSat: youth enhancing space KidSat:青少年提升空间

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium Pub Date : 1996-05-27 DOI: 10.1109/IGARSS.1996.516424

Moon-Young Choi, Go Nagatani, J. Way, E. J. Stork

引用次数: 1