[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 …
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 …
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 …
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
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 …
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
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 …
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
Distinguishing the type of agricultural production usingfor optimal water resource
management the Remote Sensing, despite the low availability of direct access to agricultural …
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 …
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 …
irrigation projects is essential, especially in the developing world where irrigation …
Spatio-temporal segmentation applied to optical remote sensing image time series
The availability of a large amount of remote sensing data made Earth Observation
increasingly accessible and detailed. High temporal and spatial resolution sensors are …
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 …
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 …
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 …
MUX data to improve crop classification. An algorithm was built to look to the nearest MUX …