Developing a new index with time series Sentinel-2 for accurate tidal flats mapping in China.

Tidal flats are essential habitats for a wide variety of plants and animals along the coast, contributing significantly to biodiversity preservation. Despite efforts to employ remote sensing technology for mapping these areas, misidentification remains a persistent issue. Within the context of tidal flat mapping, one of the primary challenges lies in distinguishing between tidal flats and turbid water bodies.

Phyllosphere bacterial community dynamics in response to bacterial wildfire disease: succession and interaction patterns.

Plants interact with complex microbial communities in which microorganisms play different roles in plant development and health. While certain microorganisms may cause disease, others promote nutrient uptake and resistance to stresses through a variety of mechanisms. Developing plant protection measures requires a deeper comprehension of the factors that influence multitrophic interactions and the organization of phyllospheric communities.

Responses of the bacterial community of tobacco phyllosphere to summer climate and wildfire disease.

Both biotic and abiotic factors continually affect the phyllospheric ecology of plants. A better understanding of the drivers of phyllospheric community structure and multitrophic interactions is vital for developing plant protection strategies. In this study, 16S rRNA high-throughput sequencing was applied to study how summer climatic factors and bacterial wildfire disease have affected the composition and assembly of the bacterial community of tobacco ( L.

Estimating the vegetation canopy height using micro-pulse photon-counting LiDAR data.

The upcoming space-borne LiDAR satellite Ice, Cloud and land Elevation Satellite-2 (ICESat-2) is scheduled to launch in 2018. Different from the waveform LiDAR system onboard the ICESat, ICESat-2 will use a micro-pulse photon-counting LiDAR system. Thus new data processing algorithms are required to retrieve vegetation canopy height from photon-counting LiDAR data.

Development of a lateral-flow assay (LFA) for rapid detection of Soybean mosaic virus.

Soybean mosaic virus (SMV) is the most common virus in soybean and poses a serious threat to crop production and germplasm recession in many countries worldwide. In this study, a highly practical and rapid lateral-flow assay (LFA) was developed for the detection of SMV. The SMV coat protein (CP) was prokaryotically expressed and purified to immunize mice.

An Efficient Seam Elimination Method for UAV Images Based on Wallis Dodging and Gaussian Distance Weight Enhancement.

The rapid development of Unmanned Aerial Vehicle (UAV) remote sensing conforms to the increasing demand for the low-altitude very high resolution (VHR) image data. However, high processing speed of massive UAV data has become an indispensable prerequisite for its applications in various industry sectors. In this paper, we developed an effective and efficient seam elimination approach for UAV images based on Wallis dodging and Gaussian distance weight enhancement (WD-GDWE).