Crop type mapping using time-series Sentinel-2 imagery and U-Net in early growth periods in the Hetao irrigation district in China
The information on spatial distribution pattern and area of different crops is particularly
useful for monitoring and managing the sustainability of agricultural resources. However …
useful for monitoring and managing the sustainability of agricultural resources. However …
Building footprint extraction and counting on very high-resolution satellite imagery using object detection deep learning framework
W Nurkarim, AW Wijayanto - Earth Science Informatics, 2023 - Springer
Building footprints are the most visible features in urban areas. Detecting building footprint
has a substantial position in decision-making problems such as city planning and …
has a substantial position in decision-making problems such as city planning and …
[HTML][HTML] Remote sensing delineation of wildfire spatial extents and post-fire recovery along a semi-arid climate gradient
Understanding the wildfire extent and post-fire vegetation recovery is critical for fire and
forest management. Remote sensing imagery is widely used in wildfire detection because it …
forest management. Remote sensing imagery is widely used in wildfire detection because it …
Automatic detection and counting of oil palm trees using remote sensing and object-based deep learning
YC Putra, AW Wijayanto - Remote Sensing Applications: Society and …, 2023 - Elsevier
Palm oil is one of the world's highest vegetable oil producers. Providing accurate oil palm
plantation statistics is essential to supporting effective and efficient decision-making …
plantation statistics is essential to supporting effective and efficient decision-making …
Multi-source satellite imagery and point of interest data for poverty mapping in East Java, Indonesia: Machine learning and deep learning approaches
This study proposes a novel approach to provide a more granular poverty map in terms of
coverage (up to a grid level with the spatial resolution of 1.5 km) with less cost and time to …
coverage (up to a grid level with the spatial resolution of 1.5 km) with less cost and time to …
Oil palm trees detection and counting on Microsoft Bing Maps Very High Resolution (VHR) satellite imagery and Unmanned Aerial Vehicles (UAV) data using image …
Palm oil is one of the highest producing vegetable oil crops globally, with production
increasing rapidly over the last 40 years from 5 million tonnes in 1980 to 74.5 million tonnes …
increasing rapidly over the last 40 years from 5 million tonnes in 1980 to 74.5 million tonnes …
Multitemporal monitoring of paramos as critical water sources in Central Colombia
Paramos, unique and biodiverse ecosystems found solely in the high mountain regions of
the tropics, are under threat. Despite their crucial role as primary water sources and …
the tropics, are under threat. Despite their crucial role as primary water sources and …
[HTML][HTML] Forest fire risk mapping with Landsat 8 OLI images: Evaluation of the potential use of vegetation índices
Fire is one of the most important natural catastrophes threatening the forest ecosystem. The
severity and frequency of forest fires are increasing daily due to the increase in population in …
severity and frequency of forest fires are increasing daily due to the increase in population in …
[HTML][HTML] Development of a new indicator for identifying vegetation destruction events using remote sensing data
C Zhao, Y Pan, P Zhang - Ecological Indicators, 2024 - Elsevier
Frequent climate change and intense anthropogenic activity increase the risk of vegetation
destruction. Remote sensing technology, known for its timely observations and wide …
destruction. Remote sensing technology, known for its timely observations and wide …
[HTML][HTML] Accurate vegetation destruction detection using remote sensing imagery based on the three-band difference vegetation index (TBDVI) and dual-temporal …
Satellite remote sensing, as an important tool for Earth observation, has been widely used to
monitor various vegetation destruction events (VDEs), such as logging, wildfires and insect …
monitor various vegetation destruction events (VDEs), such as logging, wildfires and insect …