{"id":2384,"date":"2025-08-06T01:40:34","date_gmt":"2025-08-06T01:40:34","guid":{"rendered":"http:\/\/www.xingshitu.com\/?p=2384"},"modified":"2025-08-06T01:40:34","modified_gmt":"2025-08-06T01:40:34","slug":"%e9%bb%91%e6%b2%b3%e6%b5%81%e5%9f%9f%e4%b8%ad%e3%80%81%e4%b8%8b%e6%b8%b8%e5%b8%83%e8%ae%be%e5%86%a0%e5%b1%82%e4%b8%8e%e4%b8%89%e5%8f%82%e6%95%b0%e5%9c%9f%e5%a3%a4%e8%a7%82%e6%b5%8b%e7%b3%bb%e7%bb%9f","status":"publish","type":"post","link":"http:\/\/www.xingshitu.com\/en\/2025\/08\/06\/%e9%bb%91%e6%b2%b3%e6%b5%81%e5%9f%9f%e4%b8%ad%e3%80%81%e4%b8%8b%e6%b8%b8%e5%b8%83%e8%ae%be%e5%86%a0%e5%b1%82%e4%b8%8e%e4%b8%89%e5%8f%82%e6%95%b0%e5%9c%9f%e5%a3%a4%e8%a7%82%e6%b5%8b%e7%b3%bb%e7%bb%9f\/","title":{"rendered":"Establishment of canopy and three-parameter soil observation systems in the middle and lower reaches of the Black River Basin to support the long-term stable operation of ecological monitoring equipment and data acquisition and validation"},"content":{"rendered":"
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Facing the localization of ecological monitoring equipment, verification of adaptability to complex environments and capacity building of system integration, StarView has recently deployed the following equipment in typical areas in the middle and lower reaches of the Heihe River Basin.Leaf area index sensors and soil parameter monitors<\/strong>The aim is to carry out multi-type, multi-scale and multi-factor observation tasks through field deployment in such typical areas, so as to provide data support and experience accumulation for the construction of a stable, efficient and digitalized ecological monitoring system in the future.<\/p>\n\n\n

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I. Middle Black River Basin Corn District<\/strong><\/p>\n\n\n\n

Establishment of a 24\/7 field environmental monitoring network<\/p>\n\n\n\n

The middle reaches of the Heihe River basin in Zhangye is a typical oasis agricultural area in China, and an important sample area for soil-vegetation-hydrological process research in the arid zone. In response to the needs of monitoring ecological processes in the corn planting area, we deployed distributed leaf area index (soil three-parameter) observers at eight typical sites.Real-time acquisition of leaf area index (LAI) images and data, soil temperature (T), moisture (M), electrical conductivity (EC) and other parameters<\/strong>In addition, a set of high-precision, low-power, all-weather operation field observation network has been constructed to provide long-term and continuous data support for the dynamic changes of soil-vegetation system at the regional scale.<\/p>\n\n\n

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Automated Data Acquisition and Management<\/strong>
The system automatically acquires, stores and transmits leaf area index, community image data and soil three-parameter data, realizing automatic image and data storage and intelligent management;<\/p>\n\n\n\n


Remote real-time monitoring<\/strong>
It supports remote online viewing of live images, data and equipment operation status to ensure data visualization management and facilitate real-time monitoring and analysis;<\/p>\n\n\n\n


Data security and backup mechanisms<\/strong>
The synchronized backup technology of data collector is adopted to ensure that the data are not lost and to guarantee the integrity and reliability of the monitoring data;<\/p>\n\n\n\n


High stability and environmental adaptability<\/strong>
The whole machine adopts wind, lightning and extreme climate resistant design, with strong system stability, suitable for long-term monitoring tasks in the field.<\/p>\n\n\n

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II. Lower Black River Basin desert area<\/strong><\/p>\n\n\n\n

Long-term dynamic monitoring of the soil environment<\/p>\n\n\n\n

A three-parameter soil monitoring system has been installed at 10 stations in the desert area downstream of the Heihe River, using three-parameter sensors distributed at five different depths, namely, 3 cm, 5 cm, 10 cm, 20 cm and 50 cm, to realize the stratified dynamic monitoring of soil temperature, humidity and salinity. The system can reflect the characteristics of soil water and salt changes in desert areas in real time, providing key data support for an in-depth understanding of soil ecological processes in arid environments and supporting regional ecological environmental protection and governance.<\/p>\n\n\n

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III. Multidimensional, high temporal and spatial resolution key data support<\/strong><\/p>\n\n\n\n

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Long-term observation of LAI (Leaf Area Index) and soil parameters can comprehensively reflect the growth status of vegetation and changes in soil water and salt environments, providing a scientific basis for accurately evaluating crop growth and health, optimizing irrigation management, and improving the efficiency of water resource use; at the same time, it can provide real data support for the modeling of ecological processes and the study of climate change, and promote the refinement of agricultural production management and yield prediction to achieve regional ecological environmental protection and land restoration. At the same time, it provides real data support for ecological process modeling and climate change research, promotes the refinement of agricultural production management and yield prediction, and realizes regional ecological environmental protection and land restoration.<\/p>\n\n\n\n

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