Accurate estimation of ground elevation on a large scale is essential and worthwhile in topography, geomorphology, ecology. The Ice, Cloud Land Elevation Satellite-2 (ICESat-2) mission, launched September 2018, offers an opportunity to obtain global data over the earth's surface. This paper aimed evaluate performance ICESat-2 for retrieval. To fulfill this objective, our study first tested availability existing noise removal photon identification algorithms data. Second, accuracy retrieved...

Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) shows great potential for forest height retrieval. However, there are abundant noise photons in the ICESat-2 data, which make accurate extraction of global heights challenging. In this letter, a novel algorithm based on clustering method ordering points to identify structure (OPTICS) was proposed remove photons. First, we modified circular shape search area OPTICS an elliptical shape. Second, distance all generated using algorithm....

Accurate land cover classification information is a critical variable for many applications. This study presents method to classify using the fusion data of airborne discrete return LiDAR (Light Detection and Ranging) CASI (Compact Airborne Spectrographic Imager) hyperspectral data. Four LiDAR-derived images (DTM, DSM, nDSM, intensity) (48 bands) with 1 m spatial resolution were spatially resampled 2, 4, 8, 10, 20 30 resolutions nearest neighbor resampling method. These thereafter fused...

Vegetation leaf area index (LAI), height, and aboveground biomass are key biophysical parameters. Corn is an important globally distributed crop, reliable estimations of these parameters essential for corn yield forecasting, health monitoring ecosystem modeling. Light Detection Ranging (LiDAR) considered effective technology estimating vegetation However, the estimation accuracies affected by multiple factors. In this study, we first estimated LAI, height (R2 = 0.80, 0.874 0.838,...

Travel time estimation (TTE) is a critical function in intelligent driving systems. Current research and applications related to TTE primarily focus on urban environments. The objective of this study develop methods that are applicable wilderness areas characterized by plateau mountainous topography. We selected Transformer, which has greater robustness capturing long-distance dependencies than LSTM, Transformer-based model. model simultaneously integrates positional encoding multi-head...

In the clinical stage, suspected hemolytic plasma may cause hemolysis illness, manifesting as symptoms such heart failure, severe anemia, etc. Applying a deep learning method to images significantly improves recognition accuracy, so that this paper proposes quality detection model based on improved "You Only Look Once" 5th version (YOLOv5). Then presented in and evaluation system ‌were introduced‌ into datasets, ‌the average accuracy of final classification reached 98.7%‌. The results...

The canopy structure of crops is a fundamental attribute agro-ecosystems, providing efficient indications the growing status, water stress, early detection plant diseases, and yield estimation. In this study, we investigated potential point clouds generated from airborne laser scanning (ALS) stereo images an unmanned aerial vehicle (UAV) to characterize structural complexity maize canopies. simultaneous collection field measurements were conducted on three sampling dates. A group metrics...

This letter is aimed to compare the performance of canopy height models (CHMs) derived from airborne laser scanning (ALS) data and unmanned aerial vehicle (UAV) stereo images in extraction individual tree crown size. Treetops were identified using local maximum algorithm Gaussian filtered CHMs. A parabola fitting was used determine Factors affecting delineation results, such as point cloud density spatial distribution growing status trees, analyzed. The results showed that UAV images,...

The global digital elevation measurement (DEM) products such as SRTM DEM and GDEM have been widely used for terrain slope retrieval in forests. However, the estimation accuracy is generally limited due to DEMs’ low vertical over complex forest environments. Ice, Cloud, land Elevation Satellite-2 (ICESat-2) mission shows excellent potential because of high unique design beam pairs. This study aimed explore possibility ICESat-2 data United States First, raw were processed obtain accurate...

Leaf area index (LAI) is a key parameter for the study of biogeochemical cycles in ecosystems. Remote sensing techniques have been widely used to estimate LAIs wide range vegetation types. However, limited by sensor detection capability, considerable fewer studies investigated layered estimation vertical direction, which can significantly affect precision evaluation biophysical and biochemical processes. This tried generate kind pseudo large footprint waveform from small full-waveform...

Airborne light detection and ranging (LiDAR) system calibration is a crucial procedure for ensuring the accuracy of point data. A common practice to use conjugate planar patches recover systematic parameters based on coplanar constraints planes with different orientations decrease correlations between errors. When there are not sufficient configuration optimal, it difficult guarantee reliability estimated parameters. Based analyses bore-sight angle effects, we find that only but also...

Light Detection and Ranging (LIDAR) is a system which can directly collect three-dimensional coordinate information of ground point laser reflection strength information. With the wide application LIDAR system, users hope to get more accurate results. Boresight error has an important effect on data accuracy thus, it thought that eliminating very important. In recent years, many methods have been proposed eliminate error. Generally, they be categorized into tie method surface matching method....

LiDAR is a developed technology that has been widely used to measure the Earth's surface by acquiring accurate three-dimensional (3D) information. DART (Discrete Anisotropic Radiative Transfer) model new modeling method based on Monte Carlo bidirectional path tracing mode named DART-Lux. Using DART-RC (Ray Carlo) as reference, DART-Lux shows consistency and efficiency for signal modeling. This paper presents further validation of simulating actual waveform photon-counting measurements...

Multisource data fusion technology integrates the strengths of various sources, addressing limitations relying on a single source. Therefore, it has been widely applied in fields such as lithological classification and mineral exploration. However, traditional deep learning algorithms fail to distinguish importance different features effectively during fusion, leading insufficient focus model. To address this issue, paper introduces ResHA network based hybrid attention mechanism fuse from...

<title>Abstract</title> Current research and applications on travel time estimation primarily concentrate urban scenarios are unable to fulfil the necessary criteria in regions characterized by plateau mountainous topography. In this study, a set of terrain-weather features, comprising attributes terrain weather, was devised reflect factors influencing such settings, catering for predicating times those environments. A Transformer-based model developed, which can improve accuracy paths with...

Nowadays, the harmful blue-green algae blooms on lakes or streams threaten daily life of millions people in China. In this paper, we demonstrate sensor network system built Lake Tai for surveillance and cleanup which is at work Wuxi City, Jiangsu Province. We designed device algorithm to monitor bloom estimate area. When area goes beyond threshold, salvaging boats are automatically dispatched scene clean up recycling utilization according a mechanism scalable coordination fashion. The...