Ditapis dengan
Pengelolaan Daerah Aliran Sungai (DAS) terintegrasi
Pengelolaan DAS adalah suatu proses formulasi dan implentasi kegiatan atau program yang bersifat manipulasi sumber daya alam dan manusia yang terdapat di daerah aliran sungai untuk memperoleh manfaat produksi dan jasa tennpa menyebabkan terjadinya kerusakan sumber aya air dan tanah. Kegiatan yang dilakukan adalah identifikasi keterkaitan antara pengguna lahan, tanah dan air, serta keterkaitan a…
- Edisi
- -
- ISBN/ISSN
- 978-602-432-679-1
- Deskripsi Fisik
- xii, 159 hlm. : illus. ; 23,5 cm.
- Judul Seri
- -
- No. Panggil
- 333.9 USS p
Poros maritim
Buku ini terbit dengan konsep Poros Mariti membawa paradigma baru. Paradigma lama yang lebih kapitalis dalam pengelolaan kekayaan laut yang pro kerakyatan. Dalam hal ini dapat dikatakan bahwa laut untuk nelayan. Selain itu, poros maritim juga mau menggeser arah pembangunan yang dulunya lebih berorientasi pada pembangunan darat (land base) ke pembangunan barbasis kelautan (ocean base)
- Edisi
- -
- ISBN/ISSN
- 978-602-18773-5-7
- Deskripsi Fisik
- xviii, 421 hlm. : illus. ; 23 cm.
- Judul Seri
- -
- No. Panggil
- 333.9164 BER p
Transfer learning from citizen science photographs enables plant species iden…
Accurate information on the spatial distribution of plant species and communities is in high demand for various fields of application, such as nature conservation, forestry, and agriculture. A series of studies has shown that Convolutional Neural Networks (CNNs) accurately predict plant species and communities in high-resolution remote sensing data, in particular with data at the centimeter sca…
- Edisi
- Vol.5, August 2022
- ISBN/ISSN
- 1872-8235
- Deskripsi Fisik
- 23 hlm PDF, 83.917 KB
- Judul Seri
- ISPRS Open Journal of Photogrammetry and Remote Sensing
- No. Panggil
- 621.3678
Spatially autocorrelated training and validation samples inflate performance …
Deep learning and particularly Convolutional Neural Networks (CNN) in concert with remote sensing are becoming standard analytical tools in the geosciences. A series of studies has presented the seemingly outstanding performance of CNN for predictive modelling. However, the predictive performance of such models is commonly estimated using random cross-validation, which does not account for spat…
- Edisi
- Vol.5, August 2022
- ISBN/ISSN
- 1872-8235
- Deskripsi Fisik
- 10 hlm PDF, 5.589 KB
- Judul Seri
- ISPRS Open Journal of Photogrammetry and Remote Sensing
- No. Panggil
- 621.3678
Generating impact maps from bomb craters automatically detected in aerial war…
Even more than 75 years after the Second World War, numerous unexploded bombs (duds) linger in the ground and pose a considerable hazard to society. The areas containing these duds are documented in so-called impact maps, which are based on locations of exploded bombs; these locations can be found in aerial images taken shortly after bombing. To generate impact maps, in this paper we present a …
- Edisi
- Vol.5, August 2022
- ISBN/ISSN
- 1872-8235
- Deskripsi Fisik
- 21 hlm PDF, 16.965 KB
- Judul Seri
- ISPRS Open Journal of Photogrammetry and Remote Sensing
- No. Panggil
- 621.3678
Change detection in street environments based on mobile laser scanning: A fuz…
Automated change detection based on urban mobile laser scanning data is the foundation for a whole range of applications such as building model updates, map generation for autonomous driving and natural disaster assessment. The challenge with mobile LiDAR data is that various sources of error, such as localization errors, lead to uncertainties and contradictions in the derived information. This…
- Edisi
- Vol.5, August 2022
- ISBN/ISSN
- 1872-8235
- Deskripsi Fisik
- 17 hlm PDF, 18,263 KB
- Judul Seri
- ISPRS Open Journal of Photogrammetry and Remote Sensing
- No. Panggil
- 621.3678
Hybrid georeferencing of images and LiDAR data for UAV-based point cloud coll…
During the last two decades, UAV emerged as standard platform for photogrammetric data collection. Main motivation in that early phase was the cost effective airborne image collection at areas of limited size. This was already feasible by rather simple payloads like an off-the-shelf, compact camera and a navigation-grade GNSS sensor. Meanwhile, dedicated sensor systems enable applications that …
- Edisi
- Vol.4, April 2022
- ISBN/ISSN
- 1872-8235
- Deskripsi Fisik
- 11 hlm PDF, 13.880 PDF
- Judul Seri
- ISPRS Open Journal of Photogrammetry and Remote Sensing
- No. Panggil
- 621.3678
Geometric calibration of a hyperspectral frame camera with simultaneous deter…
The recent development of lightweight and relatively low-cost hyperspectral sensors has created new perspectives for remote sensing applications. This study aimed to investigate the geometric calibration of a hyperspectral frame camera based on a tuneable Fabry–Pérot interferometer (FPI) and two sensors. The radiation passes through the optics and then through the FPI, where it is redirected…
- Edisi
- Vol.4, April 2022
- ISBN/ISSN
- 1872-8235
- Deskripsi Fisik
- 16 hlm PDF, 8.291 KB
- Judul Seri
- ISPRS Open Journal of Photogrammetry and Remote Sensing
- No. Panggil
- 621.3678
Detection of anomalous vehicle trajectories using federated learning
Nowadays mobile positioning devices, such as global navigation satellite systems (GNSS) but also external sensor technology like cameras allow an efficient online collection of trajectories, which reflect the behavior of moving objects, such as cars. The data can be used for various applications, e.g., traffic planning or updating maps, which need many trajectories to extract and infer the desi…
- Edisi
- Vol.4, April 2022
- ISBN/ISSN
- 1872-8235
- Deskripsi Fisik
- 12 hlm PDF, 3.981 KB
- Judul Seri
- ISPRS Open Journal of Photogrammetry and Remote Sensing
- No. Panggil
- 621.3678
Comparison of neural networks and k-nearest neighbors methods in forest stand…
In the remote sensing of forests, point cloud data from airborne laser scanning contains high-value information for predicting the volume of growing stock and the size of trees. At the same time, laser scanning data allows a very high number of potential features that can be extracted from the point cloud data for predicting the forest variables. In some methods, the features are first extracte…
- Edisi
- Vol.4, April 2022
- ISBN/ISSN
- 1872-8235
- Deskripsi Fisik
- 17 hlm PDF, 13.215 KB
- Judul Seri
- ISPRS Open Journal of Photogrammetry and Remote Sensing
- No. Panggil
- 621.3678
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