Canadian Journal of Remote Sensing最新文献_第9页

A comparative study of land surface temperature retrieval methods from remote sensing data 遥感地表温度反演方法的比较研究

IF 2.6 4区地球科学

Canadian Journal of Remote Sensing Pub Date : 2013-01-25 DOI: 10.5589/m13-008

A. Benmecheta, A. Abdellaoui, A. Hamou

{"title":"A comparative study of land surface temperature retrieval methods from remote sensing data","authors":"A. Benmecheta, A. Abdellaoui, A. Hamou","doi":"10.5589/m13-008","DOIUrl":"https://doi.org/10.5589/m13-008","url":null,"abstract":"The main purpose of this paper is to describe, compare, and analyze the various extraction methods for land surface temperature (LST) in terms of their computational algorithms, their different input parameters, and their relative accuracy to make them more readily usable by a broader cross-section of nontechnical practitioners. Due to the heterogeneity of most natural land surfaces, the atmospheric influence, and a wide variety of satellite sensors, the estimation and validation of LST can be difficult. Furthermore, the large number of algorithms developed to deal with this heterogeneity has led to widespread confusion on how and when to use one algorithm versus another. This paper provides a concise, but thorough, overview of the different algorithms used for the estimation of land surface temperature as well as a comparative list of methods and associated parameters that facilitate, to the general user, the selection and application of the most appropriate method for LST extraction given the situation at hand. We restricted our analysis for the single-channel algorithms to two models. We included a two-channel algorithm (or split-window when it is applied in the region 10–12.5 µm) according to the literature. The Temperature Emissivity Separation algorithm was also taken into account. The determination of the key parameters needed to execute these algorithms is presented.","PeriodicalId":48843,"journal":{"name":"Canadian Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2013-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.5589/m13-008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71097317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

Development of boreal ecosystem anthropogenic disturbance layers for Canada based on 2008 to 2010 Landsat imagery 基于2008 - 2010年Landsat影像的加拿大北方生态系统人为干扰层发展

IF 2.6 4区地球科学

Canadian Journal of Remote Sensing Pub Date : 2013-01-25 DOI: 10.5589/m13-007

J. Pasher, Evan Seed, J. Duffe

{"title":"Development of boreal ecosystem anthropogenic disturbance layers for Canada based on 2008 to 2010 Landsat imagery","authors":"J. Pasher, Evan Seed, J. Duffe","doi":"10.5589/m13-007","DOIUrl":"https://doi.org/10.5589/m13-007","url":null,"abstract":"The generation of geospatial thematic information for managing and monitoring Canada's boreal ecosystem is essential for researchers, land managers, and policy makers. Canada's boreal region is a vast mosaic of forests, wetlands, rivers, and lakes, but anthropogenic disturbances have impacted these ecosystems resulting in habitat loss, fragmentation, and threats to biodiversity. Across Canada various geospatial datasets representing anthropogenic disturbance exist for timber harvesting, hydro-electric activity, settlement, and oil and gas activities; however, these products often vary in scale, attributes, time period, and mapping technique. Driven by the need for national data as part of the 2011 boreal caribou science assessment, a standardized methodology was developed and implemented to create a single geospatial dataset representing anthropogenic disturbances across a significant portion of Canada's boreal ecosystem. The boreal ecosystem anthropogenic disturbances data are a vector disturbance dataset of individual linear and polygonal disturbance types that were manually collected through the interpretation of 2008–2010 Landsat imagery at a 1:50000 viewing scale. Summary results identified a total polygonal anthropogenic disturbance footprint of approximately 24 million ha with forest cutblocks accounting for more than 60% of mapped polygonal disturbance. Linear disturbance features across the boreal total approximately 600000 km with roads and seismic exploration lines contributing to more than 80% of the mapped linear disturbances.","PeriodicalId":48843,"journal":{"name":"Canadian Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2013-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.5589/m13-007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71097129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 83

Control of vegetation distribution: climate, geological substrate, and geomorphic factors. A case study of grassland in Ordos, Inner Mongolia, China 植被分布的控制:气候、地质基质和地貌因素。以内蒙古鄂尔多斯草原为例

IF 2.6 4区地球科学

Canadian Journal of Remote Sensing Pub Date : 2013-01-15 DOI: 10.5589/m13-022

Fang Shibo, Zhang Xin-shi

{"title":"Control of vegetation distribution: climate, geological substrate, and geomorphic factors. A case study of grassland in Ordos, Inner Mongolia, China","authors":"Fang Shibo, Zhang Xin-shi","doi":"10.5589/m13-022","DOIUrl":"https://doi.org/10.5589/m13-022","url":null,"abstract":"Many studies have dealt with the relationship between climate factors and vegetation, and some works confirmed the underlying substrate as an important factor in vegetation complexity and diversity in semiarid regions of northern China. However, the leading factor in vegetation distribution may vary with spatial or temporal scales. The objective of this study was to analyze the dominant factors in vegetation distribution and dynamics at large (regional) scales of space or time and at small (local) spatial scales. The results showed that temperature and precipitation were positively correlated with normalized difference vegetation index (NDVI) during a 20 year period (1980–2000) in the Ordos region. Both NDVI and average annual precipitation had the same trends, i.e., decreasing from east and southeast to west and northwest, which indicates the leading role of precipitation in vegetation distribution. At some locations, geologic faults with a well-developed clastic rock pervious layer are important effects on the distribution of vegetation cover in northern Ordos, near the border with the Kubuqi Desert. The lithology of bedrock greatly affects vegetation cover and distribution in the Mu Us Sandy Land area. There, a high percentage farmlands and grasslands with large NDVI values are mainly on low-permeability strata, such as the Quaternary Lake and alluvial deposits.","PeriodicalId":48843,"journal":{"name":"Canadian Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2013-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.5589/m13-022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71097926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 21

Biophysical and spectral responses to various burn treatments in the northern mixed-grass prairie 北方混交草草原不同烧伤处理的生物物理和光谱响应

IF 2.6 4区地球科学

Canadian Journal of Remote Sensing Pub Date : 2013-01-15 DOI: 10.5589/m13-023

Xiaohui Yang, E. Kovach, Xulin Guo

{"title":"Biophysical and spectral responses to various burn treatments in the northern mixed-grass prairie","authors":"Xiaohui Yang, E. Kovach, Xulin Guo","doi":"10.5589/m13-023","DOIUrl":"https://doi.org/10.5589/m13-023","url":null,"abstract":"Over the past century, environmental managers have worked to suppress fire throughout various biomes. Today, burning is generally considered beneficial to many ecosystems, though the precise effects are not entirely understood. This research aims to further our understanding of the biophysical effects of fire in C3 dominated mixed-grass prairies and to find an effective remote sensing approach for differentiating between burn treatments in late spring. Biophysical properties including vegetation cover, biomass, soil properties, canopy height, Leaf Area Index (LAI), and individual wavebands of the SPOT-5 sensor as well as two vegetation indices (Normalized Difference Vegetation Index and Normalized Burn Ratio Index) derived from SPOT-5 images were compared among unburned sites and sites with various burning treatments in Grasslands National Park, Canada. Results showed that significantly higher soil temperature and lower LAI were found in burned sites. Dead material biomass, total biomass, and percentage of standing dead cover were significantly lower in burned and grazed sites. The percentage of bare ground cover was the only biophysical variable to show significant changes in all burning treatments. Burned and unburned sites could not be distinguished based on assessing the changes of individual wavebands of the SPOT-5 sensor and the two vegetation indices. Models based on linear combinations of spectral indices were developed for biophysical properties that show significant changes in burned sites. The agreement between model simulated biophysical properties and field measured values suggest the feasibility of remote sensing to assess or monitor post-fire effects in mixed grasslands.","PeriodicalId":48843,"journal":{"name":"Canadian Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2013-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.5589/m13-023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71098029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Analysis of consistency in first-year sea ice classification potential of C-band SAR polarimetric parameters c波段SAR极化参数第一年海冰分类潜力一致性分析

IF 2.6 4区地球科学

Canadian Journal of Remote Sensing Pub Date : 2013-01-15 DOI: 10.5589/m13-016

J. P. Gill, J. Yackel, T. Geldsetzer

{"title":"Analysis of consistency in first-year sea ice classification potential of C-band SAR polarimetric parameters","authors":"J. P. Gill, J. Yackel, T. Geldsetzer","doi":"10.5589/m13-016","DOIUrl":"https://doi.org/10.5589/m13-016","url":null,"abstract":"The consistency in first-year sea ice classification potential of C-band SAR polarimetric parameters was analyzed by comparing the results of two studies conducted for the same ice types under different geophysical settings. The SAR images used in the comparison were acquired at an incidence angle difference of 4°. Probability density functions, grey level parameter images, and classification statistics derived using k-means classifier were used in the comparative analysis. The investigation showed that not all polarimetric parameters exhibit consistency in their classification performance under different geophysical settings. Out of the 20 polarimetric parameters analyzed, 12 demonstrated high levels of classification consistency between the two studies. Among these 12 parameters, only four possessed high classification accuracy and could be applicable for sea ice classification under variable environmental conditions. The parameters that showed the highest classification accuracies in both the studies were found to be inconsistent in their ice type separation capabilities. The signatures of these parameters differed for one or more ice types when compared between the two studies. The utility of these parameters in individual sea ice classification studies is recommended but their relevance in generalized sea ice classification scheme is unclear.","PeriodicalId":48843,"journal":{"name":"Canadian Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2013-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.5589/m13-016","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71097688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Estimating grassland chlorophyll content using remote sensing data at leaf, canopy, and landscape scales 基于叶片、冠层和景观尺度遥感数据估算草地叶绿素含量

IF 2.6 4区地球科学

Canadian Journal of Remote Sensing Pub Date : 2013-01-15 DOI: 10.5589/m13-021

Kelly Ka Lei Wong, Yuhong He

{"title":"Estimating grassland chlorophyll content using remote sensing data at leaf, canopy, and landscape scales","authors":"Kelly Ka Lei Wong, Yuhong He","doi":"10.5589/m13-021","DOIUrl":"https://doi.org/10.5589/m13-021","url":null,"abstract":"A small yet promising body of research has been conducted on the use of remote sensing data to retrieve vegetation chlorophyll content for heterogeneous ecosystems at the leaf level; however, the extent to which leaf chlorophyll contents can be estimated from reflectance measurements at the canopy and landscape scales remain uncertain. The goal of this study was to develop and evaluate a species percent cover-based chlorophyll content scaling up procedure that aims to accurately estimate chlorophyll content at canopy or landscape level. Using both field and QuickBird data collected in a heterogeneous tall grassland located in Ontario, Canada, this study calculated vegetation chlorophyll content at canopy and landscape levels, and it correlated chlorophyll data at leaf, canopy, and landscape levels with a red-edge spectral index. Results indicated that the relationships between the red-edge index and vegetation chlorophyll content (e.g., chlorophyll a, chlorophyll b, chlorophyll a + b) were significant at all three scales in the study site. At the landscape level, the species percent cover-based scaling up chlorophyll was slightly better correlated with the red-edge index than the greenness-based chlorophyll that was calculated using the ratio of green area to total area as an empirical coefficient, but it was much better correlated than the site averaging chlorophyll that was directly averaged from leaf level chlorophyll. These results suggest that inclusion of species percent cover in the scaling up procedure is a more appropriate method for canopy or landscape chlorophyll estimation. What we have to keep in mind is that the proposed scaling procedure only takes into account the species composition within a canopy. More canopy information such as standing dead, litter, and soil background should be considered into the scaling tool in the future.","PeriodicalId":48843,"journal":{"name":"Canadian Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2013-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.5589/m13-021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71097874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 23

Special Section on Grasslands 草原专题

IF 2.6 4区地球科学

Canadian Journal of Remote Sensing Pub Date : 2013-01-15 DOI: 10.5589/m13-020

Xulin Guo, J. Wilmshurst

引用次数: 0

Estimation of leaf chlorophyll content of rice using image color analysis 利用图像颜色分析估算水稻叶片叶绿素含量

IF 2.6 4区地球科学

Canadian Journal of Remote Sensing Pub Date : 2013-01-15 DOI: 10.5589/m13-026

Hao Hu, Jizong Zhang, Xiangyang Sun, Xiaoming Zhang

{"title":"Estimation of leaf chlorophyll content of rice using image color analysis","authors":"Hao Hu, Jizong Zhang, Xiangyang Sun, Xiaoming Zhang","doi":"10.5589/m13-026","DOIUrl":"https://doi.org/10.5589/m13-026","url":null,"abstract":"Leaf color has been commonly used as an index for crop stress status diagnosis. We have developed a low-cost and nondestructive method that is easy to use to evaluate the chlorophyll content of rice (Oryza sativa L.) using leaf image color analysis. The relationships between the imaging data and leaf pigment content were investigated. There was a highly significant negative relationship between the red (R) and green (G) values in the RGB color space analyzed from leaf image and chlorophyll a (Chl a) content, chlorophyll b (Chl b) content, Chl a + b content, and carotenoid (CAR) content. The G data had a higher correlation coefficient with Chl a, Chl b, Chl a + b, and CAR than the R data. However, no significant relationship was found between the blue (B) value and Chl a, Chl b, Chl a + b, and CAR. Linear and logarithmic correlation functions were used to model the relationship between imaging data and leaf pigment data. Using another set of collected data, significant correlations were observed between the predicted Chl a, Chl b, Chl a + b, CAR-based G data and the measured values. The determination coefficient of the R predicted model of simulated chlorophyll pigment content and observed data was smaller than that of the G predicted model. Comparably, Chl a + b and Chl a could be better predicted than Chl b and CAR from rice leaf image analysis. Combined with our previous study on barley and wheat, this study demonstrated that the chlorophyll content of plants could be nondestructivly evaluated using the leaf image color analysis method.","PeriodicalId":48843,"journal":{"name":"Canadian Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2013-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.5589/m13-026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71098751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 31

Multitemporal polarimetric RADARSAT-2 SAR data for urban land cover mapping through a dictionary-based and a rule-based model selection in a contextual SEM algorithm 通过基于词典和基于规则的模型选择在上下文SEM算法中进行城市土地覆盖制图的多时相偏振RADARSAT-2 SAR数据

IF 2.6 4区地球科学

Canadian Journal of Remote Sensing Pub Date : 2013-01-15 DOI: 10.5589/m13-019

X. Niu, Y. Ban

{"title":"Multitemporal polarimetric RADARSAT-2 SAR data for urban land cover mapping through a dictionary-based and a rule-based model selection in a contextual SEM algorithm","authors":"X. Niu, Y. Ban","doi":"10.5589/m13-019","DOIUrl":"https://doi.org/10.5589/m13-019","url":null,"abstract":"This paper presents a dictionary- and rule-based model selection approach in an adaptive contextual semi-supervised algorithm for improving urban land cover classification using high-resolution multitemporal RADARSAT-2 polarimetric SAR (PolSAR) data. Six-date PolSAR data were acquired from June to September, 2008, over the Greater Toronto Area. Contextual information and the capabilities of different PolSAR distribution models were explored by the spatially variant Finite Mixture Model (FMM) with an adaptive Markov Random Field (MRF) in a Stochastic Expectation–Maximization (SEM) algorithm. This algorithm can obtain homogenous results while preserving shape details in the complex urban environment with high accuracy. Commonly used PolSAR distribution models such as Wishart, G0p, Kp, and KummerU were compared through the proposed approaches for urban land cover mapping. According to a Goodness-of-Fit test based on Mellin transformation, an accurate PolSAR distribution model could be selected with the dictionary-based classification. However, the results showed that improvement from the dictionary-based approach was limited. Therefore, further improvements were expected by exploring expert knowledge. The initial results showed that G0p and KummerU performed better for distinguishing between low density built-up areas and forest. G0p, Kp, and KummerU are better for the low scattering classes. The Wishart model has superior capacity in separating high density built-up areas and the adjacent roads. Based on such knowledge, a set of rules was developed to integrate the advantages of alternative models. Significant improvement on the overall classification accuracy could be observed by this rule-based approach. The biggest improvement was achieved using the HD–Road rule on the G0p model with the best overall classification accuracy at 89.99% (kappa: 0.87). This represented 4.1% (kappa: 0.045) improvement over that of G0p without model selection.","PeriodicalId":48843,"journal":{"name":"Canadian Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2013-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.5589/m13-019","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71098060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Remote sensing of lake CDOM using noncontemporaneous field data 非同期野外数据遥感湖泊CDOM

IF 2.6 4区地球科学

Canadian Journal of Remote Sensing Pub Date : 2013-01-15 DOI: 10.5589/m13-017

J. Cardille, J. Leguet, P. D. del Giorgio

{"title":"Remote sensing of lake CDOM using noncontemporaneous field data","authors":"J. Cardille, J. Leguet, P. D. del Giorgio","doi":"10.5589/m13-017","DOIUrl":"https://doi.org/10.5589/m13-017","url":null,"abstract":"There are perhaps millions of lakes in Canada, and remote sensing is a crucial tool for making regional estimates of carbon stocks. Estimation using existing platforms has been hampered by both spatial and spectral resolution, but a new generation of sensors promises greatly improved image quality with broad-scale repeat coverage. Nearly all remote sensing studies in aquatic environments include carefully coordinated field campaigns with satellite overpasses, but this greatly limits the number of lakes that can be used in model development. We explored the opportunities and limits for combining high-quality Advanced Land Imager imagery with legacy lake samples to estimate colored dissolved organic matter (CDOM), a lake characteristic of high value in constructing lake carbon budgets. The passage of time produces somewhat greater scatter than in the standard model with timed field campaign, but there is no indication of a bias toward an incorrect model when using field samples from a variety of dates. Because many thousands of older field samples exist for Canadian lakes, existing limnological databases hold considerable value for estimating CDOM from satellite with sensors of sufficient radiometric depth and signal quality. This study reveals a substantial opportunity for creating and refining estimates of fundamental lake parameters in one of the world's great storehouses of aquatic carbon.","PeriodicalId":48843,"journal":{"name":"Canadian Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2013-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.5589/m13-017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71097401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 25