Recent applications of Landsat 8/OLI and Sentinel-2/MSI for land use and land cover mapping: A systematic review

M ED Chaves, M CA Picoli, I D. Sanches - Remote Sensing, 2020 - mdpi.com
Recent applications of Landsat 8 Operational Land Imager (L8/OLI) and Sentinel-2
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …

Crop mapping using supervised machine learning and deep learning: a systematic literature review

M Alami Machichi, E mansouri, Y Imani… - … Journal of Remote …, 2023 - Taylor & Francis
The ever-increasing global population presents a looming threat to food production. To meet
growing food demands while minimizing negative impacts on water and soil, agricultural …

Needle in a haystack: Mapping rare and infrequent crops using satellite imagery and data balancing methods

F Waldner, Y Chen, R Lawes, Z Hochman - Remote Sensing of …, 2019 - Elsevier
Most cropping systems around the world are organised around few dominant crops and a
larger number of less frequent crops. While rare and infrequent crops occupy a small share …

A novel method for automatic potato mapping using time series of Sentinel-2 images

D Ashourloo, HS Shahrabi, M Azadbakht… - … and Electronics in …, 2020 - Elsevier
Crop maps produced by remote sensing data play an important role in agricultural crop
studies. Most of the crop mapping methods rely on field samples to train a model, which is a …

Fusion of time-series optical and SAR images using 3D convolutional neural networks for crop classification

M Teimouri, M Mokhtarzade, N Baghdadi… - Geocarto …, 2022 - Taylor & Francis
Remote sensing is a most promising technique for providing crop maps, thanks to the
development of satellite images at various temporal and spatial resolutions. Three …

Improving crop mapping in Brazil's Cerrado from a data cubes-derived Sentinel-2 temporal analysis

MED Chaves, ID Sanches - Remote Sensing Applications: Society and …, 2023 - Elsevier
Abstract The Sentinel-2/MultiSpectral Instrument (S2/MSI) expands the frequency of satellite
observations, which is relevant to elaborate detailed and timely land use and land cover …

A semi-automated workflow for lulc mapping via sentinel-2 data cubes and spectral indices

MED Chaves, AR Soares, GAV Mataveli, AH Sánchez… - Automation, 2023 - mdpi.com
Land use and land cover (LULC) mapping initiatives are essential to support decision
making related to the implementation of different policies. There is a need for timely and …

[HTML][HTML] Spatial pattern variation of artificial sand-binding vegetation based on UAV imagery and its influencing factors in an oasis–desert transitional zone

Y Zheng, Q Yang, H Ren, D Wang, C Zhao, W Zhao - Ecological Indicators, 2022 - Elsevier
The spatial pattern of vegetation can reflect the impacts of the environment on plants and the
response of plants to the environment, which can promote a deep understanding of the …

Spatial pattern analysis of Haloxylon ammodendron using UAV imagery-A case study in the Gurbantunggut Desert

J Xu, H Gu, Q Meng, J Cheng, Y Liu, J Sheng… - International Journal of …, 2019 - Elsevier
Spatial patterns are not only the foundation for the understanding of plant interactions, but
also reflect the spatial processes among plant populations. The primary requirement of …

Development of adaptive time-weighted dynamic time warping for time series vegetation classification using satellite images in Solapur district

M Kumawat, A Khaparde - The Computer Journal, 2023 - academic.oup.com
The global seasonal change and continued rapid growth have maximized the need to
assess the urban dwellers' depend on vegetation for their lives, and also in the urban …