[HTML][HTML] Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series

H do Nascimento Bendini, LMG Fonseca… - International Journal of …, 2019 - Elsevier
The paradox between environmental conservation and economic development is a
challenge for Brazil, where there is a complex and dynamic agricultural scenario. This …

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 …

A Htitiou, A Boudhar, Y Lebrini, R Hadria… - Remote Sensing in …, 2019 - Springer
The use of remote sensing data provides valuable information to ensure sustainable land
cover management. In this paper, the potential of phenological metrics data, derived from …

A comparative analysis of different phenological information retrieved from Sentinel-2 time series images to improve crop classification: A machine learning approach

A Htitiou, A Boudhar, Y Lebrini, R Hadria… - Geocarto …, 2022 - Taylor & Francis
In this study, the potential of phenological indicators derived from Sentinel-2A (S2) time
series were evaluated to explore the key variables that allow identifying both cropland and …

Cropland use preferences under land, water and labour constraints—implications for wheat self-sufficiency in the Kabul River basin, Afghanistan

O Najmuddin, FM Qamer, H Gul, W Zhuang, F Zhang - Food Security, 2021 - Springer
During the past two decades, expanding irrigated land and achieving self-sufficiency in
wheat production have been primary focuses of Afghan food security policies. However, the …

Agricultural product classification for optimal water resource management using the data time series of Landsat8

F Kordi, S Hamzeh, S Atarchi… - Iranian journal of …, 2018 - ije.ut.ac.ir
Distinguishing the type of agricultural production usingfor optimal water resource
management the Remote Sensing, despite the low availability of direct access to agricultural …

Large-Scale Cotton Classification under Insufficient Sample Conditions Using an Adaptive Feature Network and Sentinel-2 Imagery in Uzbekistan

J Jaloliddinov, X Tian, Y Bai, Y Guo, Z Chen, Y Li… - Agronomy, 2023 - mdpi.com
Cotton (Gossypium hirsutum L.) is one of the main crops in Uzbekistan, which makes a
major contribution to the country's economy. The cotton industry has played a pivotal role in …

Performance Assessment of Irrigation Projects in Nepal by Integrating Landsat Images and Local Data

A Neupane, Y Sawada - Remote Sensing, 2023 - mdpi.com
With growing global concern for food and water insecurity, an efficient method to monitor
irrigation projects is essential, especially in the developing world where irrigation …

Spatio-temporal segmentation applied to optical remote sensing image time series

WS Costa, LMG Fonseca, TS Körting… - … and Remote Sensing …, 2018 - ieeexplore.ieee.org
The availability of a large amount of remote sensing data made Earth Observation
increasingly accessible and detailed. High temporal and spatial resolution sensors are …

Stmetrics: a python package for satellite image time-series feature extraction

AR Soares, HN Bendini, DV Vaz… - IGARSS 2020-2020 …, 2020 - ieeexplore.ieee.org
Producing reliable land use and land cover maps to support the deployment and operation
of public policies is a necessity, especially when environmental management and economic …

[PDF][PDF] Assessment of a multi-sensor approach for noise removal on Landsat-8 OLI time series using CBERS-4 MUX data to improve crop classification based on …

HN Bendini, LMG Fonseca, TS Körting… - …, 2016 - mtc-m21b.sid.inpe.br
We investigated a method for noise removal on Landsat-8 OLI timeseries using CBERS-4
MUX data to improve crop classification. An algorithm was built to look to the nearest MUX …