Year |
Citation |
Score |
2020 |
Yu X, Lu D, Jiang X, Li G, Chen Y, Li D, Chen E. Examining the Roles of Spectral, Spatial, and Topographic Features in Improving Land-Cover and Forest Classifications in a Subtropical Region Remote Sensing. 12: 2907. DOI: 10.3390/Rs12182907 |
0.339 |
|
2020 |
Jiang X, Li G, Lu D, Chen E, Wei X. Stratification-Based Forest Aboveground Biomass Estimation in a Subtropical Region Using Airborne Lidar Data Remote Sensing. 12: 1101. DOI: 10.3390/Rs12071101 |
0.336 |
|
2020 |
Li G, Li L, Lu D, Guo W, Kuang W. Mapping impervious surface distribution in China using multi-source remotely sensed data Giscience & Remote Sensing. 57: 543-552. DOI: 10.1080/15481603.2020.1744240 |
0.356 |
|
2019 |
Li G, Xie Z, Jiang X, Lu D, Chen E. Integration of ZiYuan-3 Multispectral and Stereo Data for Modeling Aboveground Biomass of Larch Plantations in North China Remote Sensing. 11: 2328. DOI: 10.3390/Rs11192328 |
0.381 |
|
2019 |
Xie Z, Chen Y, Lu D, Li G, Chen E. Classification of Land Cover, Forest, and Tree Species Classes with ZiYuan-3 Multispectral and Stereo Data Remote Sensing. 11: 164. DOI: 10.3390/Rs11020164 |
0.313 |
|
2019 |
Li G, Cheng Z, Lu D, Lu W, Huang J, Zhi J, Li S. Examining hickory plantation expansion and evaluating suitability for it using multitemporal satellite imagery and ancillary data Applied Geography. 109: 102035. DOI: 10.1016/J.Apgeog.2019.102035 |
0.391 |
|
2018 |
Lu D, Li L, Li G, Fan P, Ouyang Z, Moran E. Examining Spatial Patterns of Urban Distribution and Impacts of Physical Conditions on Urbanization in Coastal and Inland Metropoles Remote Sensing. 10: 1101. DOI: 10.3390/Rs10071101 |
0.318 |
|
2018 |
Gao Y, Lu D, Li G, Wang G, Chen Q, Liu L, Li D. Comparative Analysis of Modeling Algorithms for Forest Aboveground Biomass Estimation in a Subtropical Region Remote Sensing. 10: 627. DOI: 10.3390/Rs10040627 |
0.347 |
|
2018 |
Li G, Lu D, Moran E, Calvi MF, Dutra LV, Batistella M. Examining deforestation and agropasture dynamics along the Brazilian TransAmazon Highway using multitemporal Landsat imagery Giscience & Remote Sensing. 56: 161-183. DOI: 10.1080/15481603.2018.1497438 |
0.308 |
|
2018 |
Guo W, Li G, Ni W, Zhang Y, Lu D. Exploring improvement of impervious surface estimation at national scale through integration of nighttime light and Proba-V data Giscience & Remote Sensing. 55: 699-717. DOI: 10.1080/15481603.2018.1436425 |
0.324 |
|
2018 |
Lu W, Lu D, Wang G, Wu J, Huang J, Li G. Examining soil organic carbon distribution and dynamic change in a hickory plantation region with Landsat and ancillary data Catena. 165: 576-589. DOI: 10.1016/J.Catena.2018.03.007 |
0.304 |
|
2018 |
Jiang X, Lu D, Moran E, Calvi MF, Dutra LV, Li G. Examining impacts of the Belo Monte hydroelectric dam construction on land-cover changes using multitemporal Landsat imagery Applied Geography. 97: 35-47. DOI: 10.1016/J.Apgeog.2018.05.019 |
0.358 |
|
2017 |
Li G, Messina JP, Peter BG, Snapp SS. Mapping Land Suitability for Agriculture in Malawi Land Degradation & Development. 28: 2001-2016. DOI: 10.1002/Ldr.2723 |
0.301 |
|
2016 |
Lu D, Chen Q, Wang G, Liu L, Li G, Moran E. A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems International Journal of Digital Earth. 9: 63-105. DOI: 10.1080/17538947.2014.990526 |
0.345 |
|
2016 |
Cak AD, Moran EF, Figueiredo RdO, Lu D, Li G, Hetrick S. Urbanization and small household agricultural land use choices in the Brazilian Amazon and the role for the water chemistry of small streams Journal of Land Use Science. 11: 203-221. DOI: 10.1080/1747423X.2015.1047909 |
0.311 |
|
2014 |
Lu D, Li G, Kuang W, Moran E. Methods to extract impervious surface areas from satellite images International Journal of Digital Earth. 7: 93-112. DOI: 10.1080/17538947.2013.866173 |
0.371 |
|
2014 |
Lu D, Li G, Moran E, Kuang W. A comparative analysis of approaches for successional vegetation classification in the Brazilian Amazon Giscience & Remote Sensing. 51: 695-709. DOI: 10.1080/15481603.2014.983338 |
0.31 |
|
2014 |
Lu D, Li G, Moran E, Dutra L, Batistella M. The roles of textural images in improving land-cover classification in the Brazilian Amazon International Journal of Remote Sensing. 35: 8188-8207. DOI: 10.1080/01431161.2014.980920 |
0.38 |
|
2013 |
Li G, Lu D, Moran E, Hetrick S. Mapping impervious surface area in the Brazilian Amazon using Landsat Imagery. Giscience & Remote Sensing. 50: 172-183. PMID 24151451 DOI: 10.1080/15481603.2013.780452 |
0.398 |
|
2013 |
Lu D, Li G, Moran E, Hetrick S. Spatiotemporal analysis of land use and land cover change in the Brazilian Amazon. International Journal of Remote Sensing. 34: 5953-5978. PMID 24127130 DOI: 10.1080/01431161.2013.802825 |
0.349 |
|
2013 |
Lin M, Wen YF, Wu JR, Wang Q, Zheng L, Liu GR, Huang Y, Yang H, Lin F, Zhan XF, Lin CP, Yang HT, Weng QQ, Huang FT, Wang Y, ... ... Li GC, et al. Hemoglobinopathy: molecular epidemiological characteristics and health effects on Hakka people in the Meizhou region, southern China. Plos One. 8: e55024. PMID 23383304 DOI: 10.1371/journal.pone.0055024 |
0.409 |
|
2012 |
Lu D, Hetrick S, Moran E, Li G. Application of Time Series Landsat Images to Examining Land-use/Land-cover Dynamic Change. Photogrammetric Engineering and Remote Sensing. 78: 747-755. PMID 25328256 DOI: 10.14358/Pers.78.7.747 |
0.377 |
|
2012 |
Lu D, Batistella M, Li G, Moran E, Hetrick S, Freitas CD, Dutra LV, Sant'anna SJ. Land use/cover classification in the Brazilian Amazon using satellite images. Pesquisa Agropecuaria Brasileira. 47. PMID 24353353 DOI: 10.1590/S0100-204X2012000900004 |
0.387 |
|
2012 |
Li G, Lu D, Moran E, Sant’Anna SJS. Comparative analysis of classification algorithms and multiple sensor data for land use/land cover classification in the Brazilian Amazon Journal of Applied Remote Sensing. 6: 61706-61706. DOI: 10.1117/1.Jrs.6.061706 |
0.34 |
|
2012 |
Li G, Lu D, Moran E, Dutra L, Batistella M. A comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for land-cover classification in a tropical moist region Isprs Journal of Photogrammetry and Remote Sensing. 70: 26-38. DOI: 10.1016/J.Isprsjprs.2012.03.010 |
0.352 |
|
2011 |
Li G, Lu D, Moran E, Hetrick S. Land-cover classification in a moist tropical region of Brazil with Landsat TM imagery. International Journal of Remote Sensing. 32: 8207-8230. PMID 22368311 DOI: 10.1080/01431161.2010.532831 |
0.36 |
|
2011 |
Lu D, Li G, Moran E, Dutra L, Batistella M. A comparison of multisensor integration methods for land cover classification in the Brazilian Amazon Giscience and Remote Sensing. 48: 345-370. DOI: 10.2747/1548-1603.48.3.345 |
0.356 |
|
2011 |
Lu D, Li G, Moran E, Batistella M, Freitas CC. Mapping impervious surfaces with the integrated use of Landsat Thematic Mapper and radar data: A case study in an urban-rural landscape in the Brazilian Amazon Isprs Journal of Photogrammetry and Remote Sensing. 66: 798-808. DOI: 10.1016/J.Isprsjprs.2011.08.004 |
0.363 |
|
2010 |
Lu D, Hetrick S, Moran E, Li G. Detection of urban expansion in an urban-rural landscape with multitemporal QuickBird images. Journal of Applied Remote Sensing. 4. PMID 21799706 DOI: 10.1117/1.3501124 |
0.326 |
|
2010 |
Li G, Weng Q. Fine-scale population estimation: How Landsat ETM+ imagery can improve population distribution mapping Canadian Journal of Remote Sensing. 36: 155-165. DOI: 10.5589/M10-035 |
0.558 |
|
2007 |
Li G, Weng Q. Measuring the quality of life in city of Indianapolis by integration of remote sensing and census data International Journal of Remote Sensing. 28: 249-267. DOI: 10.1080/01431160600735624 |
0.501 |
|
2006 |
Lu D, Weng Q, Li G. Residential population estimation using a remote sensing derived impervious surface approach International Journal of Remote Sensing. 27: 3553-3570. DOI: 10.1080/01431160600617202 |
0.527 |
|
2005 |
Li G, Weng Q. Using Landsat ETM+ imagery to measure population density in Indianapolis, Indiana, USA Photogrammetric Engineering and Remote Sensing. 71: 947-958. DOI: 10.14358/Pers.71.8.947 |
0.527 |
|
2004 |
Lu D, Li G, Valladares GS, Batistella M. Mapping soil erosion risk in Rondônia, Brazilian Amazonia: Using RUSLE, remote sensing and GIS Land Degradation and Development. 15: 499-512. DOI: 10.1002/Ldr.634 |
0.316 |
|
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