Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Huanjun Liu"'
Autor:
Jia Zheng, Jianhua Ren, Huanjun Liu, Zui Tao, Bo Zou, Xingming Zheng, Xiaojie Li, Tianhao Guo, Zhuangzhuang Feng
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12787-12796 (2024)
Timely and accurate monitoring of large-scale crop harvest progress (CHP) is crucial for optimizing agricultural management. Remote sensing shows great potential, but most studies focus on small-scale analysis with limited features and single data so
Externí odkaz:
https://doaj.org/article/a465778f3f0a41878c54db5e79144330
Autor:
Zhuangzhuang Feng, Xingming Zheng, Xiaofeng Li, Huanjun Liu, Zui Tao, Chunmei Wang, Linghua Meng, Tianhao Guo, Jia Zheng, Jinfeng Song
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10781-10792 (2024)
Soil surface roughness (SSR) is an important factor affecting soil erosion and soil nutrient transport. Human tillage leads to increased instability in SSR, and the characteristics of SSR caused by different tillage practices await further study. Thi
Externí odkaz:
https://doaj.org/article/f3d3fe6eefa84621a19753d38b8804ea
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 1094-1107 (2023)
Mapping soil organic matter (SOM) content has become an important application of digital soil mapping. In this study, we processed all Sentinel-2 images covering the bare-soil period (March to June) in Northeast China from 2019 to 2022 and integrated
Externí odkaz:
https://doaj.org/article/7a702a2254b94dc89c7dec07da135ba0
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3680 (2024)
Farmland shelterbelts are aimed at farmland protection and productivity improvement, environmental protection and ecological balance, as well as land use planning and management. Farmland shelterbelts play a vital role in determining the structural i
Externí odkaz:
https://doaj.org/article/b1850e5010a14f028bb1c372a66f00dc
Publikováno v:
Land, Vol 13, Iss 7, p 1028 (2024)
Soil organic matter (SOM) in cultivated land is vital for land quality and food security. This study examines SOM distribution and influencing factors in northeastern China, providing insights for sustainable agriculture. Utilizing 10 m resolution SO
Externí odkaz:
https://doaj.org/article/3b2b7a505d8b4a2ab60d0bd8f6c37aa2
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 3905-3914 (2023)
Multitemporal Landsat-8 satellite images with fine spatial resolution (i.e., 30 m) are crucial for modern digital soil mapping (DSM). Generally, cloud-free images covering bare topsoil are common choices for DSM. However, the number of effective Land
Externí odkaz:
https://doaj.org/article/5ef152207db4477299c9e04d4643511f
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 565 (2024)
Soil organic matter (SOM) is an essential component of soil and is crucial for increasing agricultural production and soil fertility. The combination of hyperspectral remote sensing and deep learning can be used to predict the SOM content efficiently
Externí odkaz:
https://doaj.org/article/80a9ee24954d4f6583c50a8ea1d9ef7e
Publikováno v:
Agronomy, Vol 14, Iss 1, p 137 (2024)
In Northeast China, transplanted rice cultivation has been adopted to extend the rice growing season and boost yields, responding to the limitations of the cumulative temperature zone and high food demand. However, direct-seeded rice offers advantage
Externí odkaz:
https://doaj.org/article/fa28b446c85c4f3e9c83ebb9450f4991
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Aiming at the problem that it is difficult to identify two types of weeds, grass weeds and broadleaf weeds, in complex field environments, this paper proposes a semantic segmentation method with an improved UNet structure and an embedded channel atte
Externí odkaz:
https://doaj.org/article/143998d50ad04f3ea2126f599267e6eb
Publikováno v:
Remote Sensing, Vol 15, Iss 9, p 2477 (2023)
Agricultural drought significantly impacts agricultural production, highlighting the need for accurate monitoring. Accurate agricultural-drought-monitoring models are critical for timely warning and prevention. The random forest (RF) is a popular art
Externí odkaz:
https://doaj.org/article/536384e0131d45feac3fff6d2002737d