The Antarctic Ice Sheet is the largest reservoir of frozen freshwater, with an ice mass equivalent to ~58 m sea-level rise in the case of a complete melt. One of the strongest temperature increases on Earth was reported for the northern Antarctic Peninsula over the second half of the 20th century. Thus, accurate mass balance estimates of glaciers located in this region are necessary for projections of the future sea-level. Despite advances in the length of observation periods, the number of measurements, and the reduction of errors, the intercomparison of mass balance estimates derived from various methods still reveals considerable differences. This holds true even if the results are averaged over large spatial extents. This considerable uncertainty was visible, for example, in the recent review of the role of melt caused by the ocean or the stability of the East Antarctic Ice Sheet. In order to contribute to the improvement of glacier mass balance estimates, this study compares estimates by applying the input-output method, as well as the geodetic method on a local scale. The study site, James Ross Island, is located at the eastern side of the northern Antarctic Peninsula. It consists of a complex topography with a ~300 to 500 m high, almost vertical cliff separating the catchment areas from the marine-terminating outlets of many glaciers on the island. A special focus of this thesis is on the influence of the individual input variables propagated onto the error of the final mass balance estimate. Due to the harsh environmental conditions, many mass balance estimates in Antarctica rely only on remotely sensed data, such as that used in the geodetic method, which has the drawback of propagating potential errors if no validation data are available. In the scope of this thesis, in-situ measurements from several expeditions in Antarctica, which are necessary, especially for accurate estimates of the input-output method, are conducted. These in-situ data such as the ice thickness or meteorological variables conducted by automatic weather stations provide the unique opportunity of a much higher accuracy without, for example, interpolating or downscaling simulated data. A high spatial variability in glacier mass loss was observed on James Ross Island. This was related to the occurrence of Föhn events and the collapse of the ice shelf in the Röhss Bay. Previously published area estimates for the time steps 1988 and 2009 revealed strong glacier retreat on James Ross Island. In this thesis, the observation period of comparable frontal area changes is extended by exploiting glacier calving fronts starting from 1945 with a common-box approach. For almost all investigated glaciers the frontal area change rates before 1988 are lower than the retreat rates in the period 1988-2008/2009 with an overall rate on James Ross Island of -1.646 km^2 a^−1. Afterwards, the annual recession rates decrease to -0.093 km^2 a^−1 in 2008/2009-2014 and -0.039 km^2 a^−1 in 2014-2018. A continuous data set of glacier surface velocities derived by TerraSAR-X/TanDEM-X satellite acquisitions is validated with the in-situ measurements and used to analyse the temporal and spatial variability in ice dynamics between 2014 and 2018. Meteorological and oceanic data from the in-situ measurements and regional climate models are additionally used to determine potential atmospheric and oceanographic forcing factors. Sporadic acceleration events in surface velocity are observed for single glaciers, but the temporal patterns in velocity and area changes differ also for glaciers in immediate proximity. The analysis of the atmospheric conditions fails to explain the different patterns. Therefore, it is suggested that the bathymetry controls the local impact of oceanic forcing and partially over-modulates the atmospheric influence. These new results for James Ross Island suggest a stronger oceanic influence also in regions influenced by the Weddell Sea. In-situ ice thickness measurements are rare in Antarctica, but accurate estimates are an important input variable in the input-output method. Differences in ice thickness and their influence on ice discharge between published simulated data and in-situ measurements derived with ground penetrating radar are compared for the cliff-separated glacier type of Gourdon Glacier. A comparison of the measurements from 2018 with older in-situ data from the 1990s reveals differences mostly smaller than the estimated errors. The application of three interpolation and reconstruction approaches reveals a minor impact of ice thickness differences on the ice discharge estimation, if the used flux gates are in areas with a good spatial coverage of in-situ measurements. A much stronger influence is observed for uncertainties in the glacier velocities derived from remote sensing, especially in proximity to the ice cliff. Errors in ice discharge are estimated at the frontal part of Gourdon Glacier with ~0.8 Mt a^-1 for higher velocities in 2015 and ~0.3 Mt a^-1 for lower velocities in 2017. The results have a high significance for the scientific community because the in-situ ice thickness measurements show that the published simulated data strongly overestimate the ice thickness at the outlet of Gourdon Glacier, resulting in an overassessment of the ice discharge of up to 30 Mt a^-1. The in-situ ice discharge measurements can be used with high confidence as the "output" part for the input-output method in this thesis. In the case of the "input" part, the resolution of the regional climate models is too low to represent the topography of Gourdon Glacier. Thus, measurements from ablation stakes as well as the installed weather stations are used as input variables in a degree-day model. Additional mass input from the catchment area on the plateau, calculated by ice thickness and surface velocity measurements, is included in the model to generate a new surface mass balance model for the outlet part of Gourdon Glacier. Together with the ice discharge at a validated grounding line on the glacier frontal area, the mass balance could be calculated using the input-output method. Whereas the ice discharge estimation at the frontal part of the outlet derives reliable results with errors smaller than 1 Mt a^-1, the errors from the simulated SMB and the ice discharge from the plateau raise the error to ~4-6 Mt a^-1. For the geodetic approach it is not possible to establish altimetry data as a suitable candidate for serving as a reference ground truth on James Ross Island, which would be a valuable product for calibration and validation in this study area. Differences in surface elevation up to several metres are observed for different data sets using optical imagery and SAR interferometry. This can be largely attributed to high uncertainties in the co-registration of distinct elevation products due to the limited amount of stable ground. A detailed error estimation is conducted for mass balance estimates using SAR interferometry with TanDEM-X satellite acquisitions under the assumption of a successful co-registration, and under the assumption of uncorrected systematic biases in the data. The occurrence of systematic biases would raise the error from several Mt a^-1 up to ~100 Mt a^-1, and could at least partially explain the large differences in mass balance rates between the input-output and the geodetic method. The application of several "control" areas supports the assumption that the error is underestimated if systematic errors are not considered. The different results between the input-output and the geodetic method together with the high uncertainties in the error estimates lead to the conclusion that the complex topography of James Ross Island hampers the mass balance estimates. The inhomogeneous distribution of stable ground results in a limited co-registration, strong elevation differences for distinct products, as well as higher errors in the case of uncorrected systematic biases. Moreover, it was observed that the complex topography on James Ross Island is not resolved in many published simulated input data such as the SMB or the ice thickness, which are both necessary for the input-output method. This underlines the demand of in-situ measurements in the future. Nevertheless, the comparison of the influence of the error of each single variable on the final error provides novel insights into the error of small-scale glacier mass balance estimates.