1. OPUS at UTS

Search

Current filters:
Add Filter:

Results

Customise results display
Item hits:
Issue DateTitleAuthor(s)
2020-01-01Persistent Scatterer Interferometry in the post-event monitoring of the Idukki LandslidesJennifer, JJ; Saravanan, S; Pradhan, B
-Compressed pseudo-SLAM: pseudorange-integrated compressed simultaneous localisation and mapping for unmanned aerial vehicle navigationKim, J; Guivant, J; Sollie, ML; Bryne, TH; Johansen, TA
2022-02-24Automatic extraction of large-scale aquaculture encroachment areas using Canny Edge Otsu algorithm in Google Earth Engine – the case study of Kolleru Lake, South IndiaKolli, MK; Opp, C; Karthe, D; Pradhan, B
2022-01-01Flood risk assessment: role of mitigation capacity in spatial flood risk mappingAhmed, N; Hoque, MAA; Howlader, N; Pradhan, B
2022-01-01Spatio-temporal modelling of dengue fever cases in Saudi Arabia using socio-economic, climatic and environmental factorsSiddiq, A; Shukla, N; Pradhan, B
2022-01-01Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea, EgyptYoussef, AM; Pradhan, B; Dikshit, A; Mahdi, AM
2022-01-01Proposing novel ensemble approach of particle swarm optimized and machine learning algorithms for drought vulnerability mapping in Jharkhand, IndiaSaha, S; Gayen, A; Gogoi, P; Kundu, B; Paul, GC; Pradhan, B
2022-01-01Flood susceptibility mapping in Brahmaputra floodplain of Bangladesh using deep boost, deep learning neural network, and artificial neural networkAhmed, N; Hoque, MAA; Arabameri, A; Pal, SC; Chakrabortty, R; Jui, J
2021Estimating feature extraction changes of Berkelah Forest, Malaysia from multisensor remote sensing data using and object-based techniqueRozali, S; Abd Latif, Z; Adnan, NA; Hussin, Y; Blackburn, A; Pradhan, B
2016Soil erosion prediction based on land cover dynamics at the Semenyih watershed in Malaysia using LTM and USLE modelsRizeei, HM; Saharkhiz, MA; Pradhan, B; Ahmad, N
Results 1-10 of 22 (Search time: 0.01 seconds).

Discover