Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Böhler, Jonas E.
Schaepman, Michael E.
and
Kneubühler, Mathias
2018.
Crop Classification in a Heterogeneous Arable Landscape Using Uncalibrated UAV Data.
Remote Sensing,
Vol. 10,
Issue. 8,
p.
1282.
Sonobe, Rei
Yamaya, Yuki
Tani, Hiroshi
Wang, Xiufeng
Kobayashi, Nobuyuki
and
Mochizuki, Kan-ichiro
2018.
Crop classification from Sentinel-2-derived vegetation indices using ensemble learning.
Journal of Applied Remote Sensing,
Vol. 12,
Issue. 02,
p.
1.
Oon, Aslinda
Mohd Shafri, Helmi Zulhaidi
Lechner, Alex Mark
and
Azhar, Badrul
2019.
Discriminating between large-scale oil palm plantations and smallholdings on tropical peatlands using vegetation indices and supervised classification of LANDSAT-8.
International Journal of Remote Sensing,
Vol. 40,
Issue. 19,
p.
7312.
Parida, Bikash Ranjan
and
Ranjan, Avinash Kumar
2019.
Wheat Acreage Mapping and Yield Prediction Using Landsat-8 OLI Satellite Data: a Case Study in Sahibganj Province, Jharkhand (India).
Remote Sensing in Earth Systems Sciences,
Vol. 2,
Issue. 2-3,
p.
96.
Lindsay, Emily J.
King, Douglas J.
Davidson, Andrew M.
and
Daneshfar, Bahram
2019.
Canadian Prairie Rangeland and Seeded Forage Classification Using Multiseason Landsat 8 and Summer RADARSAT-2.
Rangeland Ecology & Management,
Vol. 72,
Issue. 1,
p.
92.
Solano, Francesco
Di Fazio, Salvatore
and
Modica, Giuseppe
2019.
A methodology based on GEOBIA and WorldView-3 imagery to derive vegetation indices at tree crown detail in olive orchards.
International Journal of Applied Earth Observation and Geoinformation,
Vol. 83,
Issue. ,
p.
101912.
Hubert-Moy, Laurence
Thibault, Jeanne
Fabre, Elodie
Rozo, Clémence
Arvor, Damien
Corpetti, Thomas
and
Rapinel, Sébastien
2019.
Mapping Grassland Frequency Using Decadal MODIS 250 m Time-Series: Towards a National Inventory of Semi-Natural Grasslands.
Remote Sensing,
Vol. 11,
Issue. 24,
p.
3041.
Htitiou, Abdelaziz
Boudhar, Abdelghani
Lebrini, Youssef
Hadria, Rachid
Lionboui, Hayat
Elmansouri, Loubna
Tychon, Bernard
and
Benabdelouahab, Tarik
2019.
The Performance of Random Forest Classification Based on Phenological Metrics Derived from Sentinel-2 and Landsat 8 to Map Crop Cover in an Irrigated Semi-arid Region.
Remote Sensing in Earth Systems Sciences,
Vol. 2,
Issue. 4,
p.
208.
E. D. Chaves, Michel
C. A. Picoli, Michelle
and
D. Sanches, Ieda
2020.
Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review.
Remote Sensing,
Vol. 12,
Issue. 18,
p.
3062.
Yadav, Kamini
and
Congalton, Russell G.
2020.
Extending Crop Type Reference Data Using a Phenology-Based Approach.
Frontiers in Sustainable Food Systems,
Vol. 4,
Issue. ,
Feng, Quanlong
Yang, Jianyu
Liu, Yiming
Ou, Cong
Zhu, Dehai
Niu, Bowen
Liu, Jiantao
and
Li, Baoguo
2020.
Multi-Temporal Unmanned Aerial Vehicle Remote Sensing for Vegetable Mapping Using an Attention-Based Recurrent Convolutional Neural Network.
Remote Sensing,
Vol. 12,
Issue. 10,
p.
1668.
Khan, Waleed
Minallah, Nasru
Khan, Imran Ullah
Wadud, Zahid
Zeeshan, Muhammad
Yousaf, Suhail
and
Qazi, Abdul Baseer
2020.
On the Performance of Temporal Stacking and Vegetation Indices for Detection and Estimation of Tobacco Crop.
IEEE Access,
Vol. 8,
Issue. ,
p.
103020.
Sivabalan, K.R.
and
Ramaraj, E.
2020.
Surface segmentation and environment change analysis using band ratio phenology index method – supervised aspect.
IET Image Processing,
Vol. 14,
Issue. 9,
p.
1813.
Misra, Gourav
Cawkwell, Fiona
and
Wingler, Astrid
2020.
Status of Phenological Research Using Sentinel-2 Data: A Review.
Remote Sensing,
Vol. 12,
Issue. 17,
p.
2760.
Goldberg, Keren
Herrmann, Ittai
Hochberg, Uri
and
Rozenstein, Offer
2021.
Generating Up-to-Date Crop Maps Optimized for Sentinel-2 Imagery in Israel.
Remote Sensing,
Vol. 13,
Issue. 17,
p.
3488.
Dakir, Asmae
Zahra, Barramou Fatima
and
Omar, Alami Bachir
2021.
Optical Satellite Images Services for Precision Agricultural use: A Review.
Advances in Science, Technology and Engineering Systems Journal,
Vol. 6,
Issue. 3,
p.
326.
Sarvia, Filippo
Xausa, Elena
De Petris, Samuele
Cantamessa, Gianluca
and
Borgogno-Mondino, Enrico
2021.
A Possible Role of Copernicus Sentinel-2 Data to Support Common Agricultural Policy Controls in Agriculture.
Agronomy,
Vol. 11,
Issue. 1,
p.
110.
Potgieter, Andries B
Zhao, Yan
Zarco-Tejada, Pablo J
Chenu, Karine
Zhang, Yifan
Porker, Kenton
Biddulph, Ben
Dang, Yash P
Neale, Tim
Roosta, Fred
Chapman, Scott
and
Long, Steve
2021.
Evolution and application of digital technologies to predict crop type and crop phenology in agriculture.
in silico Plants,
Vol. 3,
Issue. 1,
Bazezew, Muluken N.
Belay, Achenef Tigabu
Guda, Shiferaw Tolosa
and
Kleinn, Christoph
2021.
Developing Maize Yield Predictive Models from Sentinel-2 MSI Derived Vegetation Indices: An Approach to an Early Warning System on Yield Fluctuation and Food Security.
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science,
Vol. 89,
Issue. 6,
p.
535.
Busquier, Mario
Valcarce-Diñeiro, Rubén
Lopez-Sanchez, Juan M.
Plaza, Javier
Sánchez, Nilda
and
Arias-Pérez, Benjamín
2021.
Fusion of Multi-Temporal PAZ and Sentinel-1 Data for Crop Classification.
Remote Sensing,
Vol. 13,
Issue. 19,
p.
3915.