CPR Algorithm—A new interpolation methodology and QGIS plugin for Colour Pattern Regression between aerial images and raster maps

Blanco-Gómez, Pablo; Amurrio-Garcia, Constancio; Jiménez-García, José Luis; Cecilia, José M.

doi:10.1016/j.softx.2023.101356

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…补色是黄色 60°, 青色 180°, 品红 300°; S={0.0~1.0}; V={0.0(黑色)~1.0(白色)} [21] . 采用灰度值计算阈值的算法来进行识别, 单色亮度信号即灰度值, 源自伽玛校正的红、绿、蓝信号, 灰度值公式: [22] .…”

Section: 研究方法unclassified

稀土镀层永磁废料色选识别技术研究

Wang,

Tao,

Cao

et al. 2024

Sci. Sin.-Tech.

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Section: 研究方法unclassified

稀土镀层永磁废料色选识别技术研究

Wang,

Tao,

Cao

et al. 2024

Sci. Sin.-Tech.

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“…Kết quả có thể được sử dụng trong đánh giá, giám sát chất lượng đất trồng và phục vụ công tác quản lý, sử dụng hợp lý đất đai, đặc biệt là tại các khu vực canh tác trên đất dốc, đất thoái hoá. QGIS, một công cụ nguồn mở với ưu điểm là dễ dàng điều chỉnh bằng các tính năng bổ sung (plugins) cho các phân tích chuyên ngành [9]. Bên cạnh đó, QGIS còn mang lại tiện ích vượt trội so với các phần mềm GIS khác đó là cung cấp cho người dùng nhiều tính năng nâng cao hoàn toàn miễn phí cùng với kho dữ liệu sẵn có phong phú, đa dạng.…”

Section: Bản đồ Nội Suy Phân Bố Không Gian Của Các Tính Chất Lớp đấT ...unclassified

Assessing the Impact of Erosion and Farming Practices on the Spatial Distribution of Topsoil Characteristics in a Sloping Vineyard Using an Open-source QGIS Software

Ha Nhung,

Viet

2023

EES

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Erosion is one of the major threats that negatively affect agricultural soils. Several studies indicated that sloping vineyards are prone to soil erosion due to the soil management method. This study was conducted in a sloping vineyard planted in 2019 (with a slope of 100 and a slope length of 38 m) in Thu Cuc commune, Tan Son district, Phu Tho province, Vietnam. The main objective of the study is to evaluate soil characteristics (pH, particle-size distribution, organic matter, cation exchange capacity (CEC), N, P, and K macronutrients) related to terrain morphology, soil erosion, and farming practices. The open-source QGIS software was used to evaluate the spatial distribution of the soil characteristics. We found that the organic matter content, CEC, and clay content in the soils taken at the footslope zones were higher than those at the top of the hill as a result of soil erosion. In contrast, higher contents of K and silt were observed at the top of the hill compared to the footslope, indicating an unapparent impact of soil erosion on these two factors in the studied vineyard. Phosphorus was evenly distributed throughout the plot and influenced by the soil characteristics. Indeed, a strong correlation between total P content and soil pH, organic matter, and silt content was revealed in our study. On the other hand, cultivation practices exerted a significant impact on the prevailing accumulation of soil organic matter, CEC, total N, and clay particle size at the lower part of the vine rows following the horizontal flow. The vine rows were planted along the contour lines rather than the dominant slope of the vineyard can explain this tendency. In addition, no cover crops sown between the vine rows probably resulted in intense soil erosion at the steepest part of the terrain. Overall, the terrain morphology and farming practices played an essential role in the spatial distribution of soil characteristics. Therefore, integrating geographic information systems into building a digital database and predicting the spatial distribution of soil parameters is necessary to perform soil quality monitoring and serve sustainable land management.

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