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…

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)

Hak milik intelektual : hak milik perindustrian dan hak cipta

Edisi

-

ISBN/ISSN

979-8767-29-2

Deskripsi Fisik

xxii, 441 hlm. 21 cm.

Judul Seri

-

No. Panggil

346.048 Kan H

Indonesia civil code (Kitab undang-undang hukum perdata)

Edisi

-

ISBN/ISSN

978-979-22-0929-9

Deskripsi Fisik

x, 426 hlm.

Judul Seri

-

No. Panggil

347.598 Ran I

Boundary control and legal principles

Edisi

-

ISBN/ISSN

-

Deskripsi Fisik

409 hlm. illus.

Judul Seri

-

No. Panggil

346.730432 Cur B

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…

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…

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 …

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…

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 …