Takip et
Clement Adjorlolo
Clement Adjorlolo
African Union Development Agency (AUDA-NEPAD); University of KwaZulu-Natal (UKZN)
nepad.org üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Evaluating the robustness of models developed from field spectral data in predicting African grass foliar nitrogen concentration using WorldView-2 image as an independent test …
O Mutanga, E Adam, C Adjorlolo, EM Abdel-Rahman
International Journal of Applied Earth Observation and Geoinformation 34 …, 2015
822015
Spectral resampling based on user-defined inter-band correlation filter: C3 and C4 grass species classification
C Adjorlolo, O Mutanga, MA Cho, R Ismail
International Journal of Applied Earth Observation and Geoinformation 21 …, 2013
652013
Evaluating the capability of Landsat 8 OLI and SPOT 6 for discriminating invasive alien species in the African Savanna landscape
M Kganyago, J Odindi, C Adjorlolo, P Mhangara
International journal of applied earth observation and geoinformation 67, 10-19, 2018
642018
Challenges and opportunities in the use of remote sensing for C3 and C4 grass species discrimination and mapping
C Adjorlolo, O Mutanga, MA Cho, R Ismail
African Journal of Range & Forage Science 29 (2), 47-61, 2012
522012
Predicting C3 and C4 grass nutrient variability using in situ canopy reflectance and partial least squares regression
C Adjorlolo, O Mutanga, MA Cho
International Journal of Remote Sensing 36 (6), 1743-1761, 2015
482015
Estimating crop biophysical parameters using machine learning algorithms and Sentinel-2 imagery
M Kganyago, P Mhangara, C Adjorlolo
Remote Sensing 13 (21), 4314, 2021
432021
Estimation of canopy nitrogen concentration across C3 and C4 grasslands using WorldView-2 multispectral data
C Adjorlolo, O Mutanga, MA Cho
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
422014
Optimizing spectral resolutions for the classification of and grass species, using wavelengths of known absorption features
C Adjorlolo, MA Cho, O Mutanga, R Ismail
Journal of Applied Remote Sensing 6 (1), 063560-063560, 2012
422012
Evaluating the potential of the red edge channel for C3 (Festuca spp.) grass discrimination using Sentinel-2 and Rapid Eye satellite image data
C Otunga, J Odindi, O Mutanga, C Adjorlolo
Geocarto International 34 (10), 1123-1143, 2019
342019
Optical remote sensing of crop biophysical and biochemical parameters: An overview of advances in sensor technologies and machine learning algorithms for precision agriculture
M Kganyago, C Adjorlolo, P Mhangara, L Tsoeleng
Computers and Electronics in Agriculture 218, 108730, 2024
332024
Selecting a subset of spectral bands for mapping invasive alien plants: a case of discriminating Parthenium hysterophorus using field spectroscopy data
M Kganyago, J Odindi, C Adjorlolo, P Mhangara
International Journal of Remote Sensing 38 (20), 5608-5625, 2017
302017
Integrating remote sensing and geostatistics to estimate woody vegetation in an African savanna
C Adjorlolo, O Mutanga
Journal of Spatial Science 58 (2), 305-322, 2013
262013
Mapping the spatial distribution of Lippia javanica (Burm. f.) Spreng using Sentinel-2 and SRTM-derived topographic data in malaria endemic environment
OE Malahlela, C Adjorlolo, JM Olwoch
Ecological Modelling 392, 147-158, 2019
182019
Sugarcane: a way out of energy poverty
JGDB Leite, MRLV Leal, LAH Nogueira, LAB Cortez, BE Dale, ...
Biofuels, Bioproducts and Biorefining 10 (4), 393-408, 2016
182016
Assessing the spatial patterns of crop damage by wildlife using GIS
C Mutanga, Onisimo & Adjorlolo
Alternation 15 (1), 222-239, 2008
122008
Exploring transferable techniques to retrieve crop biophysical and biochemical variables using sentinel-2 data
M Kganyago, C Adjorlolo, P Mhangara
Remote Sensing 14 (16), 3968, 2022
112022
Predicting the distribution of C3 (Festuca spp.) grass species using topographic variables and binary logistic regression model
C Otunga, J Odindi, O Mutanga, C Adjorlolo, J Botha
Geocarto International 33 (5), 489-504, 2018
112018
Estimating woody vegetation cover in an African Savanna using remote sensing and geostatistics
C Adjorlolo
University of KwaZulu-Natal, Pietermaritzburg, 2008
102008
Validation of atmospheric correction approaches for Sentinel-2 under partly-cloudy conditions in an African agricultural landscape
M Kganyago, G Ovakoglou, P Mhangara, T Alexandridis, J Odindi, ...
Remote Sensing of Clouds and the Atmosphere XXV 11531, 21-39, 2020
92020
Evaluating efficacy of landsat-derived environmental covariates for predicting malaria distribution in rural villages of Vhembe District, South Africa
OE Malahlela, JM Olwoch, C Adjorlolo
EcoHealth 15, 23-40, 2018
82018
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20