Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Bambang H. Trisasongko"'
Autor:
Ram Kumar Singh, Martin Drews, Manuel De la Sen, Prashant Kumar Srivastava, Bambang H. Trisasongko, Manoj Kumar, Manish Kumar Pandey, Akash Anand, S. S. Singh, A. K. Pandey, Manmohan Dobriyal, Meenu Rani, Pavan Kumar
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract The new COVID-19 coronavirus disease has emerged as a global threat and not just to human health but also the global economy. Due to the pandemic, most countries affected have therefore imposed periods of full or partial lockdowns to restric
Externí odkaz:
https://doaj.org/article/c0ca64ced2894a5c92ef817772c28fb5
Publikováno v:
Advances in Remote Sensing for Forest Monitoring. :167-178
Autor:
Bambang H. Trisasongko
Publikováno v:
European Journal of Remote Sensing, Vol 50, Iss 1, Pp 64-76 (2017)
This paper presents an evaluation on strategies for rubber plantation mapping employing SAR data coupled with Random Forest (RF) and Support Vector Machine (SVM). Linear backscatter coefficients achieved saturation point at about 10 years, making thi
Externí odkaz:
https://doaj.org/article/476f853e3644458e89c373e8f40715d4
Publikováno v:
Geographies; Volume 2; Issue 2; Pages: 173-185
This article explores a potential exploitation of fully polarimetric radar data for the management of rubber plantations, specifically for predicting tree circumference as a crucial information need for sustainable plantation management. Conventional
Publikováno v:
International Journal of Technology, Vol 7, Iss 1, Pp 114-122 (2016)
Food production, particularly rice, has been one of the major concerns in Indonesia. Primary threats to production include agricultural land conversion and climate change. In this paper, a GIS-based approach is presented to assess agricultural dr
Externí odkaz:
https://doaj.org/article/539fbe5a847d41658d1e2c79df75bb5f
Publikováno v:
Remote Sensing, Vol 11, Iss 1, p 100 (2019)
This research aims to detect subtle changes by combining binary change analysis, the Iteratively Reweighted Multivariate Alteration Detection (IRMAD), over dual polarimetric Advanced Land Observing Satellite (ALOS) backscatter with augmented data for
Externí odkaz:
https://doaj.org/article/62f6c42b32314928a8c037a66ef38ab0
Autor:
Bambang H. Trisasongko
Publikováno v:
Advances in Remote Sensing for Natural Resource Monitoring
Publikováno v:
Journal of the Saudi Society of Agricultural Sciences, Vol 12, Iss 1, Pp 27-37 (2013)
Rice is one of the important agricultural products in Indonesia. The production has been fully supported by infrastructure including research and development as well as government regulations in pricing. Its vulnerability to climate change requires a
Externí odkaz:
https://doaj.org/article/11974887921446b8a1832ca924182570
Autor:
Rizqi I’anatus Sholihah, Nur Etika Karyati, Bambang H Trisasongko, Dyah R Panuju, La Ode S Iman, Desi Nadalia
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 1109:012067
Soil moisture is essential in monitoring agricultural lands, particularly in Jember, East Java which serves as one of Indonesian rice-producing regions. Scarcity of information related to the environment crucial to rice planting is evident. This incl
Autor:
Bambang H. Trisasongko
Publikováno v:
ITB Journal of Engineering Science, Vol 43, Iss 2, Pp 101-112 (2011)
The paper reports an experiment on classification using fully polarimetric SAR data. Many reports have been presented mentioning test sites in temperate regions utilizing polarimetric SAR data from airborne and/or spaceborne SAR sensors. However, few
Externí odkaz:
https://doaj.org/article/e9715cb44e1e4c579bac4c3a6c6f53e6