Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Robert Minarik"'
Autor:
Tania L. Maxwell, Tomislav Hengl, Leandro L. Parente, Robert Minarik, Thomas A. Worthington, Pete Bunting, Lindsey S. Smart, Mark D. Spalding, Emily Landis
Publikováno v:
Data in Brief, Vol 50, Iss , Pp 109621- (2023)
This dataset presents global soil organic carbon stocks in mangrove forests at 30 m resolution, predicted for 2020. We used spatiotemporal ensemble machine learning to produce predictions of soil organic carbon content and bulk density (BD) to 1 m so
Externí odkaz:
https://doaj.org/article/290ad2f1652d4514b36ab5ee3f64d50b
Publikováno v:
European Journal of Remote Sensing, Vol 52, Iss 0, Pp 108-122 (2019)
Data on the real extent of soil that is degraded by erosion represent important information for the purposes of conservation policy. However, this type of data is rarely available for large areas. A remote-sensing-based method for identifying of erod
Externí odkaz:
https://doaj.org/article/18e8c0669445461882e09849c70769cb
Detection of Bark Beetle Disturbance at Tree Level Using UAS Multispectral Imagery and Deep Learning
Publikováno v:
Remote Sensing, Vol 13, Iss 23, p 4768 (2021)
This study aimed to examine the potential of convolutional neural networks (CNNs) for the detection of individual trees infested by bark beetles in a multispectral high-resolution dataset acquired by an unmanned aerial system (UAS). We compared the p
Externí odkaz:
https://doaj.org/article/0c3e9defdc0343c29355e07fa7eef262
Publikováno v:
Remote Sensing, Vol 13, Iss 5, p 907 (2021)
One of the best preconditions for the sufficient monitoring of peat bog ecosystems is the collection, processing, and analysis of unique spatial data to understand peat bog dynamics. Over two seasons, we sampled groundwater level (GWL) and soil moist
Externí odkaz:
https://doaj.org/article/1ab3a96d5ef7492493289ca641ee11b1
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4081 (2020)
Multispectral imaging using unmanned aerial systems (UAS) enables rapid and accurate detection of pest insect infestations, which are an increasing threat to midlatitude natural forests. Pest detection at the level of an individual tree is of particu
Externí odkaz:
https://doaj.org/article/c4d141439d714ed9ba646b00dd033586
Publikováno v:
Remote Sensing, Vol 11, Iss 20, p 2428 (2019)
This study presents a complex empirical image-based radiometric calibration method for a Tetracam μMCA multispectral frame camera. The workflow is based on a laboratory investigation of the camera’s radiometric properties combined with vicarious a
Externí odkaz:
https://doaj.org/article/72af94beb22c45d4a2ab986c877b57b8