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| 1 | A generalized supervised classification scheme to produce provincial wetland inventory maps:an application of Google Earth Engine for big geo data processing显示文摘Wetlands are important natural resources due to their numerous ecological services.Consequently,identifying their locations and extents is imperative.The stability,repeatability,cost-effectiveness,multi-scale coverage,and proper spatial resolution imagery of satellites provide a valuable opportunity for their use in various large-scale applications,such as provincial wetland mapping.To do so,it is required to(1)process and classify big geo data(i.e.a large amount of satellite datasets)in a time-and computationally-efficient approach and(2)collect a large amount of field samples.In this study,Google Earth Engine(GEE)and machine learning algorithms were utilized to process thousands of remote sensing images and produce provincial wetland inventory maps of the three Canadian provinces of Manitoba,Quebec,and Newfoundland and Labrador(NL).Additionally,using GEE,a generalized supervised classification method is proposed to produce a regional wetland map from a large area(e.g.,a province)when lacking field samples.In fact,using the field data from only Manitoba and assuming that all wetlands in Canada have similar characteristics,the wetland maps were generated for the other two provinces.The overall classification accuracies for Manitoba,Quebec,and NL were 84%,78%,and 82%,respectively,indicating the high potential of the proposed method for aiding provincial wetland inventory systems. | Meisam Amani Brian Brisco Majid Afshar S.Mohammad Mirmazloumi Sahel Mahdavi Sayyed Mohammad Javad Mirzadeh Weimin Huang Jean Granger | 2019 | Big Earth Data2019，3，4： | 4 |
| 2 | Pressure influences upon shear thickening of poly ( acrylamide ) solutions 显示文摘 | Brian Briscoe Paul Luckham Zhu Shiping | 1999 | Rheol Acta1999，，38： | 1 |
| 3 | Interaction of binders with dispersant stabilised alumina suspen-sions显示文摘 | Asad U Kban Brian J Briscoe Paul F Luckham | 2000 | Colloids Surf A:Physicochem Eng Aspects2000，161，： | 1 |
| 4 | Thermal characterization of an epoxy-based underfill material for flip chip packaging显示文摘 | Yi He Brian E Moreira Alan Overson Stacy H Nakamura Christine Bider John F Briscoe | 2000 | Thermochimica Acta2000，，： | 1 |
| 5 | Number and nest-site selection of breeding black-necked cranes over the past 40 years in the Longbao Wetland Nature Reserve,Qinghai,China显示文摘Black-necked crane(Grus nigricollis,BNC),facing serious threats from human activities and habitat variations,is an endangered species classified as vulnerable under the revised IUCN Red List.In this article,we investigated and analyzed the population and nesting microhabitat of BNCs in the Longbao National Nature Reserve(NNR)from 1978 to 2016,and found the number of BNCs increased from 24 in 1978 to 216 in 2016.This establishment of the Longbao NNR represented the activities of protecting endangered animal species are effective.However,the land cover classification results of Landsat images showed that the marsh wetland,which was the BNC’s primary habitat,decreased during 1978–2016,while artificial buildings increased,which affected the habitat of BNCs.The increase in average temperature over the past 40 years has also had an impact on the number of BNCs.BNCs preferred to nest in marsh wetlands or on islands with open water or star-like distributions through observation.The results of the principal component analysis showed that the nearest distance between nests and habitat type were the primary factors influencing nesting site selection.To protect BNC,we suggest decreasing wetland fragmentation,reducing habitat degradation and providing an undisturbed habitat. | Qiufang Wei Yun Shao Chou Xie Baoshan Cui Bangsen Tian Brian Brisco Kun Li Wenjia Tang | 2021 | Big Earth Data2021，5，2： | 0 |
| 6 | Speckle filtering of Synthetic Aperture Radar images using filters with object-size-adapted windows显示文摘Speckle degrades the radiometric quality of a Synthetic Aperture Radar(SAR)image.Previous methods for speckle reduction have used a fixedsize window for filtering the entire image.This,however,may not be effective for the entire image,as land covers of different sizes require different filtering windows.In this paper,a novel method is proposed by which each pixel in the image is filtered with a window appropriate for the size of object within it.The real in-phase and the imaginary quadrature components of the SAR images determine the best window size and the pixels in the intensity image are filtered using their own optimal windows.The proposed method is presented for both singleand multi-polarized SAR images,and the results of several common filters that were modified are presented.This approach is applied to two RADARSAT-2 images:one over San Francisco,California,USA and the other over St.John’s,Newfoundland and Labrador,Canada,producing results that were similar to,or outperformed,comparable filters while retaining details and suppressing speckle effectively.While the method was successful for single-look intensity data,it offers great potential for multi-look and amplitude data as well. | Sahel Mahdavi Bahram Salehi Cecilia Moloney Weimin Huang Brian Brisco | 2018 | International Journal of Digital Earth2018，11，7： | 0 |
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