Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Luwei Feng"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 128, Iss , Pp 103789- (2024)
Topography determines run-off direction, redistributes groundwater, and affects land surface solar radiation loads and the associated evaporative forcing, consequently, topography can modulate the impact of drought and heat waves on ecosystems. This
Externí odkaz:
https://doaj.org/article/01e710d99b464d47a78654d32ae7a462
Publikováno v:
Remote Sensing, Vol 16, Iss 8, p 1464 (2024)
Accurate crop mapping is crucial for ensuring food security. Recently, many studies have developed diverse crop mapping models based on deep learning. However, these models generally rely on a large amount of labeled crop samples to investigate the i
Externí odkaz:
https://doaj.org/article/7b6d7fe6c1d34e71954ab1592761d3c4
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 2247-2265 (2022)
Accurate crop mapping is critical for agricultural applications. Although studies have combined deep learning methods and time-series satellite images to crop classification with satisfactory results, most of them focused on supervised methods, which
Externí odkaz:
https://doaj.org/article/48ce2016acc74e2ea88c47976c81693b
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 3, p 186 (2021)
Determining the flow accumulation threshold (FAT) is a key task in the extraction of river networks from digital elevation models (DEMs). Several methods have been developed to extract river networks from Digital Elevation Models. However, few studie
Externí odkaz:
https://doaj.org/article/040a1723b6e64926931b6a28a76eab1b
Publikováno v:
Sensors, Vol 20, Iss 18, p 5293 (2020)
Potato is the largest non-cereal food crop in the world. Timely estimation of end-of-season tuber production using in-season information can inform sustainable agricultural management decisions that increase productivity while reducing impacts on the
Externí odkaz:
https://doaj.org/article/ef54f2b25be140adb34beb5dda0302bf
Publikováno v:
Remote Sensing, Vol 12, Iss 12, p 2028 (2020)
Alfalfa is a valuable and intensively produced forage crop in the United States, and the timely estimation of its yield can inform precision management decisions. However, traditional yield assessment approaches are laborious and time-consuming, and
Externí odkaz:
https://doaj.org/article/a2027643cec24f5bb976f0551c87c40e
Publikováno v:
Remote Sensing, Vol 12, Iss 8, p 1232 (2020)
Winter wheat (Triticum aestivum L.) is one of the most important cereal crops, supplying essential food for the world population. Because the United States is a major producer and exporter of wheat to the world market, accurate and timely forecasting
Externí odkaz:
https://doaj.org/article/b4cfca039e724496a63e06f9c785c4dc
Publikováno v:
Earth System Science Data Discussions; 9/19/2023, p1-28, 28p
Publikováno v:
International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022).
Publikováno v:
Proceedings of the Twentieth ACM Conference on Embedded Networked Sensor Systems.