Serbin, G.,
Hunt, E.,
Daughtry, C.,
McCarty, G.,
Doraiswamy, P.,
An Improved ASTER Index for Remote Sensing of Crop Residue,
RS(1), No. 4, December 2009, pp. 971-991.
DOI Link
1203
BibRef
Jin, X.L.[Xiu-Liang],
Ma, J.H.[Jian-Hang],
Wen, Z.D.[Zhi-Dan],
Song, K.S.[Kai-Shan],
Estimation of Maize Residue Cover Using Landsat-8 OLI Image Spectral
Information and Textural Features,
RS(7), No. 11, 2015, pp. 14559.
DOI Link
1512
BibRef
Zhuang, Y.[Yan],
Li, R.Y.[Rui-Yuan],
Yang, H.[Hao],
Chen, D.[Danlu],
Chen, Z.Y.[Zi-Yue],
Gao, B.B.[Bing-Bo],
He, B.[Bin],
Understanding Temporal and Spatial Distribution of Crop Residue
Burning in China from 2003 to 2017 Using MODIS Data,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Bannari, A.[Abderrazak],
Staenz, K.[Karl],
Champagne, C.[Catherine],
Khurshid, K.S.[K. Shahid],
Spatial Variability Mapping of Crop Residue Using Hyperion (EO-1)
Hyperspectral Data,
RS(7), No. 6, 2015, pp. 8107.
DOI Link
1507
BibRef
Quemada, M.[Miguel],
Daughtry, C.S.T.[Craig S. T.],
Spectral Indices to Improve Crop Residue Cover Estimation under
Varying Moisture Conditions,
RS(8), No. 8, 2016, pp. 660.
DOI Link
1609
BibRef
Chen, Z.Y.[Zi-Yue],
Chen, D.[Danlu],
Zhuang, Y.[Yan],
Cai, J.[Jun],
Zhao, N.[Na],
He, B.[Bin],
Gao, B.[Bingbo],
Xu, B.[Bing],
Examining the Influence of Crop Residue Burning on Local PM2.5
Concentrations in Heilongjiang Province Using Ground Observation and
Remote Sensing Data,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Hively, W.D.[W. Dean],
Lamb, B.T.[Brian T.],
Daughtry, C.S.T.[Craig S. T.],
Shermeyer, J.[Jacob],
McCarty, G.W.[Gregory W.],
Quemada, M.[Miguel],
Mapping Crop Residue and Tillage Intensity Using WorldView-3
Satellite Shortwave Infrared Residue Indices,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link
1811
BibRef
Hively, W.D.[W. Dean],
Shermeyer, J.[Jacob],
Lamb, B.T.[Brian T.],
Daughtry, C.T.[Craig T.],
Quemada, M.[Miguel],
Keppler, J.[Jason],
Mapping Crop Residue by Combining Landsat and WorldView-3 Satellite
Imagery,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Castaldi, F.[Fabio],
Chabrillat, S.[Sabine],
Don, A.[Axel],
van Wesemael, B.[Bas],
Soil Organic Carbon Mapping Using LUCAS Topsoil Database and
Sentinel-2 Data: An Approach to Reduce Soil Moisture and Crop Residue
Effects,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Dvorakova, K.[Klara],
Shi, P.[Pu],
Limbourg, Q.[Quentin],
van Wesemael, B.[Bas],
Soil Organic Carbon Mapping from Remote Sensing: The Effect of Crop
Residues,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Ding, Y.L.[Yan-Ling],
Zhang, H.Y.[Hong-Yan],
Wang, Z.Q.[Zhong-Qiang],
Xie, Q.Y.[Qiao-Yun],
Wang, Y.Q.[Ye-Qiao],
Liu, L.[Lin],
Hall, C.C.[Christopher C.],
A Comparison of Estimating Crop Residue Cover from Sentinel-2 Data
Using Empirical Regressions and Machine Learning Methods,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Najafi, P.[Payam],
Feizizadeh, B.[Bakhtiar],
Navid, H.[Hossein],
A Comparative Approach of Fuzzy Object Based Image Analysis and
Machine Learning Techniques Which Are Applied to Crop Residue Cover
Mapping by Using Sentinel-2 Satellite and UAV Imagery,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Barnes, M.L.[Mallory Liebl],
Yoder, L.[Landon],
Khodaee, M.[Mahsa],
Detecting Winter Cover Crops and Crop Residues in the Midwest US
Using Machine Learning Classification of Thermal and Optical Imagery,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Yue, J.[Jibo],
Tian, Q.J.[Qing-Jiu],
Dong, X.Y.[Xin-Yu],
Xu, K.J.[Kai-Jian],
Zhou, C.Q.[Cheng-Quan],
Using Hyperspectral Crop Residue Angle Index to Estimate Maize and
Winter-Wheat Residue Cover: A Laboratory Study,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Cai, W.T.[Wen-Ting],
Zhao, S.H.[Shu-He],
Wang, Y.M.[Ya-Mei],
Peng, F.C.[Fan-Chen],
Heo, J.[Joon],
Duan, Z.[Zheng],
Estimation of Winter Wheat Residue Coverage Using Optical and SAR
Remote Sensing Images,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link
1906
BibRef
Hively, W.D.[Wells Dean],
Lamb, B.T.[Brian T.],
Daughtry, C.S.T.[Craig S. T.],
Serbin, G.[Guy],
Dennison, P.[Philip],
Kokaly, R.F.[Raymond F.],
Wu, Z.T.[Zhuo-Ting],
Masek, J.G.[Jeffery G.],
Evaluation of SWIR Crop Residue Bands for the Landsat Next Mission,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Tao, W.C.[Wan-Cheng],
Xie, Z.X.[Zi-Xuan],
Zhang, Y.[Ying],
Li, J.[Jiayu],
Xuan, F.[Fu],
Huang, J.X.[Jian-Xi],
Li, X.C.[Xue-Cao],
Su, W.[Wei],
Yin, D.Q.[Dong-Qin],
Corn Residue Covered Area Mapping with a Deep Learning Method Using
Chinese GF-1 B/D High Resolution Remote Sensing Images,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Fu, Y.[Yu],
Gao, H.[Hao],
Liao, H.[Hong],
Tian, X.J.[Xiang-Jun],
Spatiotemporal Variations and Uncertainty in Crop Residue Burning
Emissions over North China Plain: Implication for Atmospheric CO2
Simulation,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Shen, Y.L.[Yong-Lin],
Jiang, C.M.[Chang-Min],
Chan, K.L.[Ka Lok],
Hu, C.L.[Chu-Li],
Yao, L.[Ling],
Estimation of Field-Level NOx Emissions from Crop Residue Burning
Using Remote Sensing Data: A Case Study in Hubei, China,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link
2102
BibRef
Lamb, B.T.[Brian T.],
Dennison, P.E.[Philip E.],
Hively, W.D.[W. Dean],
Kokaly, R.F.[Raymond F.],
Serbin, G.[Guy],
Wu, Z.T.[Zhuo-Ting],
Dabney, P.W.[Philip W.],
Masek, J.G.[Jeffery G.],
Campbell, M.[Michael],
Daughtry, C.S.T.[Craig S. T.],
Optimizing Landsat Next Shortwave Infrared Bands for Crop Residue
Characterization,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Li, R.[Rong],
He, X.[Xinjie],
Wang, H.[Hong],
Wang, Y.[Yi],
Zhang, M.G.[Mei-Gen],
Mei, X.[Xin],
Zhang, F.[Fan],
Chen, L.F.[Liang-Fu],
Estimating Emissions from Crop Residue Open Burning in Central China
from 2012 to 2020 Using Statistical Models Combined with Satellite
Observations,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Bai, B.[Bing],
Zhao, H.M.[Hong-Mei],
Zhang, S.[Sumei],
Zhang, X.L.[Xue-Lei],
Du, Y.[Yabin],
Can Neural Networks Forecast Open Field Burning of Crop Residue in
Regions with Anthropogenic Management and Control? A Case Study in
Northeastern China,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Zhang, S.[Sumei],
Zhao, H.M.[Hong-Mei],
Wu, Z.[Zehao],
Tan, L.[Longda],
Comparing the Ability of Burned Area Products to Detect Crop Residue
Burning in China,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Dong, Y.[Yi],
Xuan, F.[Fu],
Li, Z.Q.[Zi-Qian],
Su, W.[Wei],
Guo, H.[Hui],
Huang, X.D.[Xian-Da],
Li, X.C.[Xue-Cao],
Huang, J.X.[Jian-Xi],
Modeling the Corn Residue Coverage after Harvesting and before Sowing
in Northeast China by Random Forest and Soil Texture Zoning,
RS(15), No. 8, 2023, pp. 2179.
DOI Link
2305
BibRef
Stern, A.J.[Alan J.],
Daughtry, C.S.T.[Craig S. T.],
Hunt, E.R.[E. Raymond],
Gao, F.[Feng],
Comparison of Five Spectral Indices and Six Imagery Classification
Techniques for Assessment of Crop Residue Cover Using Four Years of
Landsat Imagery,
RS(15), No. 18, 2023, pp. 4596.
DOI Link
2310
BibRef
Li, W.[Wei],
Li, D.[Dong],
Liu, S.[Shouyang],
Baret, F.[Frédéric],
Ma, Z.Y.[Zhi-Yuan],
He, C.[Can],
Warner, T.A.[Timothy A.],
Guo, C.[Caili],
Cheng, T.[Tao],
Zhu, Y.[Yan],
Cao, W.X.[Wei-Xing],
Yao, X.[Xia],
RSARE: A physically-based vegetation index for estimating wheat green
LAI to mitigate the impact of leaf chlorophyll content and
residue-soil background,
PandRS(200), 2023, pp. 138-152.
Elsevier DOI
2306
LAI, Sentinel-2, Residue-soil adjusted red edge difference index (RSARE),
Leaf chlorophyll content
BibRef
Walker, K.[Kendra],
Overcoming Common Pitfalls to Improve the Accuracy of Crop Residue
Burning Measurement Based on Remote Sensing Data,
RS(16), No. 2, 2024, pp. 342.
DOI Link
2402
BibRef
Azimi, F.[Fatemeh],
Jung, J.[Jinha],
Automated Crop Residue Estimation via Unsupervised Techniques Using
High-Resolution UAS RGB Imagery,
RS(16), No. 7, 2024, pp. 1135.
DOI Link
2404
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Carbon Sequestration, CO2 Sequestration, Carbon Storage .