<div dir="ltr"><div><div><div><div><div><div><div><div><div>Hello,<br><br></div>I have a raster file (GeoTIFF and netCDF grid) of the Tonga region, so has the longitude/latitude limits like:<br></div>-180 to -170; -26 to -12<br>
<br></div>I used GMT to reproject the original Geographic grid from WGS84 to UTM Zone 1S (WGS84), and created a GeoTIFF of the data. Both files will load into a new project file no problem.<br><br></div>However, if the project CRS is changed to say Geographic again (WGS84), QGIS will crash  with the following error message:<br>
<br><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAfoAAACaCAIAAADO9B3wAAAgAElEQVR4nO2de3RTx4H/9c8e25IICbTbc/bw6y+PdpeGbJM2tgo0hCQmgAGLEChZigHtbxuabM8xqZvHknYhlBDxSG3ATUIKASw7YCzMK3ixAcnyU7Kth235KQnZ8tuWbMQj5OFs9fvj6nFfupJl2RLS93O+x+dq7szcmblXX41GM2Mej0Q6AACAGILHJD09XSwW5xw8pG3s6Bm4CUEQBN3XMlt7L1y8KBaLKaafnp6+efOWOl1ruc4MQRAExYw6zLbNm7f4HF8sFtfpWsv1FgiCICjG1GG2icVid9de29hRYbgBQRAExaSGHXfS09N56enpw447FY3WIDVzO2/WRzyF1hR8EgiCIIhVV2vb/nqiZHd2YXj11xMlV2vbvFeh2H1lozWgfvjOD2Z/ypv5R96DryVUGG4EkwSCIAji0IGPz1+rbm4y94dX16qbD3x83nsVit1XNXWxqtlU4XIdff2NNJdrR1n5kQfe5M14g5e+9t/8xYcgCIKC1+7sQkNnn6LBFF4ZOvt2Zxd6r0Kxe3VrL1MuV+Et138sXrK8urnrTEnFjDd4D0p5G//9t3/40/us8SEIgqAJ6f2cM02mfqXW7JVCa1JoTZ5js1JrVjZQpTUrtSZlg/evWaH1nVJozQqtucnU/37OGe9VKHavaeujyeX6vO/O5vaBDQf/9rmmra+6uXvWJ7wXV8y5XL6ixtjNjK9p69O0XfmDeF2qR384yxpn0qo4sVGcua9iajKHIAiaRr2fc6bJMlius5TrzOU6C0lmpc6yJ/vY2vVbCe3JPlautez5y2ekkM/KdRal1uJJbnYfay1NlsH3c854r0Kx+7r2frI0bX0u11sW+8aapjVXqhvr2vsf+pD3wDu8WuPL7QMbTl1U0OJ7VPoHceb+StZTk9TU5QxBEBQx7TlYZLQMqvQ3PLISBxV6q0p/Y+36rS4Pa9dv/SD7M1oIKSFFRsvgnoNF3qtQ7L6hY4CsSoPFOpphsW+8rkmvNFiIYZzi4mUW+0aLfeNvM9+ixfeo9E1x5oFK1lOT1NTlDEEQFDHtOVjUYh2qaOyqMFjdfw1dFYauSkNXpaHrg5zja9dv/V8PtOMPco5XNFrdkRsJWSsN1gpDV4t1aM/BIu9VKHavNQ2SdVVtJJz9uiZdpeuc9TEvTfzy3//+JhG4Zv1GWnyPyt4UbztQ7X1pOPDauowjBq1pUHtub+preVc8gcRoz5vnBrWmQW11XoZ7/GdvnjeTc+7AjCMGransTe8Y0XtllKv40npyI84e2ZvqS85aVAiCoMiLsPvqpu4qj6qbuqubuquabMRL6cETa9dv/ZbK2vVbpQdPVJGieVK5Rdi99yoUu9eZh8iqNJiJ3r269eXzxndcrk+KSlQu1w7C7n/zn7+nxfeI5MvifTJ3yD6Z+++Qztz04WvrMo40UZNs+7BmSGce0p3fl3GkyZ3Ja7JS85CuRpbhPkuK5jsue1O87s3zQzp6zHWp75URGXqKAUEQFI3ac0je2jVS02yrMfbUGHuqjbaaZltNs63aaKsx9tQ022qae/YePLF2/dZhD2vXb9178ES10VZjtFUbe2pI8r5s7RrZc0juvQrF7vWWYbK0psGeW5sIc09cxtu+a5+x55WBr7YQ/X1Z8RVafI+uviXe9qGaGnhhX6p43VsXhvWWYb1aliHeJyOfVcsySL/upu66SstEtotISw70HFNz44rJXloIgqAIi7D72pZedWtvbUtfbUtfbUtvbUtvbUufuqW3trV336GTa9dv7aGydv3WfYdOqlv7alt71S29RMza1t7alt7a1r7all7C7r1Xodi94cYITcfPfNE+sMFi37h4yXLDjRGX678s9o2m4Q0vLF2hMw8x4xtujBhuXHtLvO0vamrgxX2p4nVvXRwx3BgxqPM3ifcVkM8yQyiZGP/yOpGWHOg5pqYt2OU/JntpIQiCIizC7jVt/eq2fg1J6rZ+TVvfvkN5a9dvtXigHe87nKehpvKKsHvvVSh232i1k6UzD846xBP9+/+pb3+5TJ3e0Nnvcv3JYt+4ZPmCCr2JSE9L0mi1N1qvvS3elq2hhewvcP+1N1pbsl9ft+lvLdQI/kM0+ZvcCck5e4+vvS1e9/ZFexAxIQiColEfHJJ32Bx1HYN1HQN17QP1HQN17YN17YP1HYP1HYNr129t97B2/db9uXm0kPr2wbqOgfr2wfr2gfr2gbr2gfr2wfqOwQ6b44NDcu9VKHbf1OXwSm8Z2v3hX/9hHo//Cu/NP+3O+H//sfKl/6usF1vsG3d8kFzX1uty5ah0neQkHl1/mzQys+no9ezX12062tLU5bh29I3U1wuuUeO8fdHR1OVo0hRs8qb68/Wmrutvi994+89vUOJ0OT7/MyVCtoaW1hNCPks5hiAIijpJD5/tsDkaOodIGmzoHGzoHKrvHDqQK/POst+fK2ughhzIldUTSTqGqDkMddgc0sNnvVeh2H1z9yhTMzJ5/1OpI47r2182DW+w2Dcae15Zu2FzU5eDNUk4pHhb/EZO3RRlDkEQFEWSHj5r6h3TmoY9GiEdD2tNwzpKyIg7gnlYaxrRmYa15hGdO9ow8ZKIaeodkx4+670Kxe6NtjGmFHWt6lYbcdzU5dh9IHfdhs3v7t6vtwyxxg+TlO+I38ipn7r8IQiCokV7c4vN/U6deURntuvMdp15xCO7zjKiJ0IsduIl6ewINbJPRBJzv3NvbrH3KhS7b+m5GTUqf0f8xsGGiBcDgiBoynX4s5Jaw42uoTvhVa3hxuHPSrxXodh9a48TgiAImmbVtQ4cOlayN7c4vDp0rKSudcB7FYrdt/XegiAIgmJSVLvvuwVBEATFpCh23953G4IgCIpJue1+1apVhN07AQAAxByE3a9atQp2DwAAsQzsHgAA4gLYPQAAxAWwewAAiAtg9wAAEBfA7gEAIC6A3QMAQFwAuwcAgLgAdg8AAHEB7B4AAOKC8Nu9xWJRKhT5MtmB/fvf3b59W2bmtszMd7dvP7B/f75MplQoLBZLWIoOAAAgeMJp93q9viA/f+eOHXl5eSqVymQyjY2Ojo+Pj4+Pj42OmkwmlUqVl5e3c8eOgvx8vV4fxmoAAADgJjx2b7Vai4qKsrOzy8vLHXa7vbOjT6GwnC5s/+jjlg/26v97Z/OBDztleTalaqSz0zEyUl5enp2dXVRUZLVaw14lAAAATMJg9zqtNjc3t6y09KbD0V9ZZTtXPPTZ8e5t22wZGT0vr7Otealr9Wrz6tVtL60xrFmj2bLFmJfXrVEP9vWVlZbm5ubqtNqw1EQu4fF4PJF0Or80yCX0CzJDJnuBaahUJJoOADDdTNbu1Wr1wZwco9HoaGzsOlPkkMl6X311YM2avtWr+9JXd6end6WnW9LTzWmrOlasaEtb1rJsWUNaWtXKlY3Z2UNandFoPJiTo1arJ12RMPtsqBcNbzGmp1IRaToAwHQzKbvXabUHc3JsNltPSUnfqdP97/xX/5o1fatX94jF3enp1lWrLCtXmtPS2pcvb122zPjii00vvmhITdW+8ELD4sWVqan/8+JSS3GxzWY7mJMzyT6+hOdGIicC5J4Qr5HJJTyRRCIiAkgORz2UyJ1OvVRES0xJ68tcIqEapfeivot4UrHnKZVKaKX0xJPISbkFVynPMY8nkurdUT0pSdAyYV4FABCbhG73Vqs1NzfXaDT2lJT0HT/es/W3Ay+Ju5cuNS1aZFmyxLJypXn58s5ly1uXLjWmLmlKTTW88IIu9XnNwoU1T/6sKiWl6plnlIsWlSx+znL2rNFozM3Nndw4PqWL6ntBOaK6KmFvcolIJPI6H7WX67Z/Wlo/WTKLwXKalifp0HtEdt0JVcpzrJeKeN6PLbqH+8kEvXsAYp/Q7b6oqKistNTR2GjOyel97bUesdj83LPDr7761aVLfa++2vzLBe1Ll7akphJG3/Dcc/WLF1c//XSDWNxz/LhhY8bVx39yXSQqnb/g4rOLhxsaykpLi4qKJlERms8yj6mm5rFCuUQklUtFbpskOyetC8ydecBiBJmn16pDqBQzMMjiwe4BiAtCtHu9Xp+dnX3T4Wj7+OPeP/6xe2W6+fnnB7ZscQ0Oulwu1/Cw5de/rn/6acLo6xYt0jy7qPKpp+qWL7+hUlnHHN2Njep1v/pi7tzLP//5xeTkK2vX3XQ4srOzJzE7c4J27zZ3ucRt9BK51+1Zur2TtvsJ5Em2fNg9ACBshGj3Bfn5SqVyoL7OvP3drlWrzM8/3/3KK66REZeXwaH2jRtrf/rTumefrVm4sOKnT2jSVtyorDT19ra0thpNps6G+mvLlhX/+Mdn5z1x7udPdxR8Xl5eXpCfH2pFghn3oJiaXiryDuPopSKJROKLSB/CIafVSylj+EHbPVeerB9FE61UMHaPwRwA4pdQ7N5isezcscM+PGw6fdoskZiXvdj2zDPWV/7Ndfu2i8TXQ0MtGzcq5s5VzHu8Ji3NXFVl6utrbW1t1Ov7h4bu3r17Pi3t1COPnHr88TPznih95VeOkZGdO3aEuuaW5lnsv2rSR+a9AyfkY5ZfYpkDQaw/1foS038PDpAn2aDJP5tOqFJB2X1QLQMAiEVCsXulQpGXlzfSaTL87nftS5a0pT5vfOEFXXKy+Te/cd286XK5vvvuu3v37t397junrUf70ksVzz1nrqrqsNlaW1oMBkP/0NDd27dlzz33qVAomznz5MyZn82ceebJp4aammQymVKhmIZqAwBAvBGK3efLZCqVynZVYfjV+pbnn29evFi/eLF20aKqx58wbt58z27/1uW6devW2OjosNM50NzcplAYTSaDwVBfV9fT33/n1q2TCxceEQrzBYITAsFxgeC4QFAwZ47x2LGKiop8mWwaqg0AAPFGKHZ/YP9+k8nUevSYLi2tcdGz+kXP1D/zjGbhQvWCXyrmztVmZIz294/evTvQ32+1WjstFmNnp06n02g0NsLrFy/+VCgs4PPzBIKTAsFJgeCEQCCbPVv1u9+ZTKYD+/dPQ7UBACDeCMXu392+fWx0tOG9ndrnnyOMXrNwfvX8+ZUikWrBgiuPPVK5YoW1ocHS3d3W1mZsbtbrdHV1dbaentu3buW/8ALh9YTyBYJ8gSBPIMh74IELqUvGRkff3b59GqoNAADxRih2vy0zc3x8XLlhQ/0vf6lZuLD6F7+oTElRiURKkaj0sccuJiWd5vOVaWktbW1NRiPRr6+qrh4dHf1iy5YjQuFpPv+URwWevwUCwal//dfx8fFtmZnTUG0AAIg3QrT7b775pmLr1ur58ytTUlTJycqUlOtPPXV59uzipKRCPv+LH/6wsahIZzRqtVqNRlNVVVVRWVleXd1w6dLlefMK+PxCPr+Qzz9DlkBw6mc/+/bbb0O3e9IyKVIQbRaKv1O+RVC+QObGBwTM+ZeU6ZWMfAKX229kxhYHjMi+QnpXZzEzJJWKNIeUFMLSdgCAGCPEwRz7iF39p/8unz9fmZysFKWUPv74haSks0lJhXz+xTlzGi9d0ra3NzQ0aNTqKo2mqra2orxcoVBcr6nRl5aW/OQnhXz+2aSk4qSk8x5dEArPL1s26nCEPJhD23/ASdpEgDRVPvApT0akLQho099FIhFtfiQ9xE+B2OAqiV4q9c0N9eyPQInsK6Q3OVuGzKIwQoIrLQDg/iXEn2rbOzqbPv302vz510WiK088UZyUdIbPL+Dzz8+ZY7h4saGtrUGrVavVtr6+MYfjytmz1ysry5VKlUpVazC0VlSU/su/nE1KupSUdCkp6XJS0uXExJIHHijPzOzs7Az1p1pm/5S8ZQzNzII65TtBiqKXiiRy+iJYWgjjEtzF9lcSZu0YkSkXIcrAmmEQdu+US9C/ByCmCXEiplKptFy7emXBwtInnyS8/hSff/b73zcUFze0tdU3NNTW1tr6+m6OjeXNny979NFS+VmVRqNRq3U6XafNZqvXXP/Rjy4nJpYlJl5NTLyWmCh/YGarLE+lUoU6EZPV0fytJPJ/iurS7iEPcoBIqqclp4ew5MNZ7CCWO7nPMCPLJZSVYkSI/9VbLJtrkkPg9wDEMiEuszpx8kRfe9sXCxcWz5pVyOcX8PlFs2cb5PKGtrb6+vra2truvr6bY2PEnMtTfL587tzyS5f0HR0dbW3d3d2jX94bbWpSzfmhMiGhPCFBlZBQ9PAjw61GmSwvxGVWLIPPodg92aW9x15P9XykUPYfoIUw8+EkGLvn3CHH69vu9bqcGZI+HRghGL4HIMYJfROF/t7eS0uXFn7vewV8/kmB4Mwjj9QrFJrGxpqaGltv783R0ePPPntEKDzl+VX2wrx5OpWqZ2TEbrd//fe/j42OKubOrU5IUCclVs+c2bBX6rDb39u5M8RNFLxm5dvh4DDJv5gjNqynaF5JC2f+DOvvh9lAPeWgCsnMyl+xySc543Btmga7ByDGCX2LtPLy8tajR0/NmZMnFJ4QCP4mEJxOSVGWlHQNDNwcHT32zDOfCIXEPMszfH5xUtKFpKSSf/5nq14/7nLdGhu7unz59cREHZ+vFwjkDz3UrVKWqya5RRrL3u6+Hy2pw/Bsp5g7kpGnw/jdhp4lZCLjIhyFZGbEXmxPEX0DN+xxuHv3GMwBIMaZ7AbIF198seAf//GoQPCpUPixUCh7+unGsrKjCxd8JBTmCQQFfP5pPl/O519ISrqcmHglMbHyySd7zp0rX7lSmZDQJBAYhULt7O9dXL580hsgs3ZOfb1okqP7ZrIw5y8yzJU+ydFzgsPu2fLhMlK/hfTNsfR9daBHZm54xpIhc0YpyxxTTM0BIMaZ7L83Gaqvz//Rj0/Mnv2JUPiRUPiRUHhIKPxIKDwuEJwUCIgp9sVJSZeSkkoTE68nJqoSEq4nJtYkJBiFwvYZM5pmzTr98MN2ne5qWdnk/r1J9NpV1BaMwv1RSgBA6IThnxd2FhYWPPzw0dmzDwuFHwmFnwiFn5Ls/oyna38tMVGVkFDL52uTkoxCYceMGcbZswv/6Z+sxedaWlom/c8L3TMiJ5XDlHBf+CgG7gGIfcLzr8lNhYUnH3vs2Pe/f3jGjI9Idn+Kzz9L6tpXJSbWCYWNQmHbjBmG2bPPPPqo9fz5sPxrcgAAANxMyu6dTqdarT6Yk2M0Gofq6y+kLvn0Bz849tBDR4TCo1S7v5qYWJ6QoEkS6GfM0D700PkHH7yUtsJuMBiNxoM5OWq1eoqqBwAAgGCydu90OnVabW5ubllp6U2Ho0ulqn5n+8lHHj06a1bBgw8WCoVn+fzLfH4Zn6+cMePizJmnHnqodP16S/G5mw5HWWlpbm4u+vUAADANhMHunU6n1WotKirKzs5WKBT24eHhzs4bJSW6Aweu/HpD4YJfFDwx72Laiorf/75dljdkNNpHRsqVyuzs7KKiosmO1/sgT4Fn2a2MMnzO3DHMd4Jt65vpm6EYcKA/XNMlOfIJ+RJTkSfXxUgt5X8iLGV6E3NN8QT3wptyuBqKKHVIBYrULNvQfri6r+YEs+x1NUUEtwKfk/DYPYFery/Iz9+5Y0deXp5KpTKZTGOjo+Pj4+Pj42OjoyaTSaVS5eXl7dyxoyA/fxJzLlkh1d89l5wZ4nS639rUzSMpmyYwZliybn8WMWD3pCxJM1e9/2XeSf7dmbnOwMl8fwa/F940MEVteF8Z6P1TWr1UxJu+hyTK7J7AYrEoFYp8mezA/v3vbt++LTNzW2bmu9u3H9i/P18mUyoUof7zcW6YC2JZl8gypqD4X2flZG5/xtFZkUtY5uZLJYxepUgiIW9UyZz8zn0XaZViS+65KLW7S4RIGfsx0Hq2tH5vwGqSiuH7r+vcefrb1UckkYh45MXK3P1C0p2US3gSqfcleYE1WyUYy898d5V0f/3sfMfRFAEan7NfzmxDcqCc3IbUZSN+2ohSNuY9DaJIkXmeKSvVvU9LsA8Gtcxs3+sm/JYJ4stJoDoy3jKMe8fdbn6bha3YAQi/3UcIXwN5em/MENaVprQtJMlNx9j+bGJ2T1qvSjpiuaUsR9QlVmwbmfk5Yl6UlinN7skFDmJ5LePZpV48mDz92T1PJNX7vm5Rt3ZmawqyrUvk3nm4gdzemyNtnTT1ve1n5zuupgjQ+ByZsbahp+281WDtvgRfNvLXlsBFmv7nmfbZT/7M8/NgBCyzNweOe+H3rjEeJtbyczeiv5ak9zY43tIczcIsdkBiye5p94IUQhm8Ydo9e2fEc1sC3E7ag0D6ZAh4w7gj+KsmR1YhBdI7f+xlmEg1ufPkLk/wTUHaJYi8gZ13I2fSjfUUnvpZ7gkIZi+8UJvCX8XJ+P38oz6/5Gi0QcjQysZepAg9zwGz5crTT5nd6Sfy0eKv8YOsQjCl4hhADuGNzFUAJrFk98yuJbNLz4jmdzCHcssDf2Hi6k+F8PYI2BsKk92zdCg4n55gqhkgz4navf+OlV4qEknl3tV1cglPIvfz9matF3Hvyb0tIk5wt35Sd3xCCdmT+7X8YMvGUaTpf54DZhvE88ns3ZPvbYhvGYIw9u692XF88YXdB4Dz7UHydOZPtb5k7t6dnPpti5QP7Qz1aswvv74nnW5/1BdsRwGrGSg55Z3mO8+0e/r38gnZPVvmAfKk/jQa2O450EtFIpGIZNYikYj6ccDa3uTzErn7rtOK5icJR1OwvwODuLesN4g54YO1/CGYdXCP2zQ9z9wPg3NiD0bYhk0mNNsmFLunzSdgHAXfLEEUgER82D31BpI/qcltxqN9lWfmw2H3bOUhfmLi+b0x3l5k8HeOdps5ktM+7Yg+iYTtzUM75Q4K9gliz5wzT2/B2csTvN3T35ck56aXznd1cpD/YT9GewaE493I+S3BydqG5HKydgNZistdOFIJgigSW+2m4HlmfRjIpQ3xwXBS7irzyQv6LcPZxKyzfIMtF+VrB+N2BNssE2gQZwzZfbQxIacgJQr+HTxxpm+KMIg1ovF5BhMFdj9FTPTt4f40n4o3B6kPArOPOGydzvuAKHqeQcjA7gEAIC6A3QMAQFwAuwcAgLggruyec95ZuMdRqbN4qPnT5yUyft33DfCKpPrp38OLPJXy/hledsNV5olNOgIgtoDdBzw1iatRZ4STHZ40tYrxa1YU7eEVY3Z/P1YHgLARc3aPPbz8NoX/1Sv0vZaIs7RmCbQtF+kqoe1p5acwzuDmibNM9qfOcfZVh7oXDyaPgHgh9u2esmiNZSlWXO3hxV4vtq2vWBfykfPjWBbvr6GCKWHU7DIGQMwRO3aPPbxCaoogK+vJNbBDBtVQ0bzLGACxSuzYvRvs4TWhppiA3XsKFOA7zUQ+F6N5lzEAYo6Yt3vs4UXLzV+9gqyj/xEoepHCZffBDOZMwS5jAMQcMWf3TLCHFzm633qxV43ULN5G4+4Nh9hQjOrQjjm/xzinY5cxAO534sDuAQAAwO7BfQjlpwuMxQAQJLB7AACIC2D3AAAQF8DuAQAgLogZu2euqQl7/v5GiVnXak5ozswEJ9hMU27RUJfQCLIMHBPzg1lzG1r7ABAxYsnup/QtF6Tdh1ae6LT70DKMBu+bvN1PxeUAiDAxbPdyCbFXl0iqpxw72eZxUyOw9O1Y1tBSZqP7XooYm4sFmk7ud1cvZh05i83SFOxJOLYhE0ml1PnyU1wX6uYGtJVgpLTMrDhCuMvAGo1WI8qBnx3fWNsHO6+B6CWW7N4Lfcks9djfek3q+la/dk8O4dhejcMWuS7uyZRltWfgYnNHJH/U+d+GTC8V+V9IHM66MDYvk8hJ7U5bj8bMijUkmDJwNh6r3fNEUtYd3/y1D4weRCmxZPccX8wDHgf8Pk6KQO/PhWb3/gLpn1qc1eEeR5rQdTkCp6Iu9FNEp5jUxOR6MeOzhgRTBn91CVj3YA6c2IYHRDOw+wnaPUuPNrx2768Y96PdB1MXUhjLPmv+4gd5u4N/KgLWPUi7dzph+SBaiUO79zcGQUrO8o2cZPdc26v57fEx9iYLclcvtvr4K3ZQEVlLy1qYqasL6+Zl5MEcWgRmfM4QrjKwRmM23aTsHjuvgegkluzeB60f7n9wwE8EDrv3pmXfXk3OFki6IOsGXly7erHWkaN/6mRUnCOJnLMwU1kX6inKxw7rb7PMrDhCuMvAGo3lLk/A5akPgJ+7B0CkiRm7B+GB6/sFAOB+BnYPnE7KpsswewBiE9g9AADEBbB7AACIC2D3AAAQF8DuAQAgLoDdAwBAXAC7BwCAuAB2DwAAcQHsHgAA4gLYPQAAxAWwewAAiAtg9wAAEBfA7gEAIC6A3QMAQFwAuwcAgLgAdg8AAHEB7B4AAOIC2D2IOmQyWVYsIpPJIt20IK6B3YPogvD6/41F4PggssDuQXSRlZX17bff3otFRkdHs7KyIt3AIH6B3YPogrD7L2MRh8MBuwcRBHYPoousrKxvvvnmTixit9th9yCCwO5BdEHY/e1YZGRkBHYPIgjsHkQXWVlZX3/99a1YBHYPIgvsHkQXhN3fjEWGh4dh9yCCwO5BdJGVlfXVV1+NTQ3aD0Q8D6IPtO4g99HYWNEWHo+3pWiKLj42NDQEuwcRBHYPogvC7kenAO2eFF7KHq371ZktPF7KHu2odk8KEUg9PRUMDg7C7kEEgd2D6CIrK+vevXv28FO4mZfyfh0poO79lJT367x/aWengIGBAdg9iCCwexBdEHY/EnY0u1NSdmsoQac38zaf1uxOSUlJ4dHPTQX9/f2wexBBYPcgusjKyvryyy+Hww5h95Sg05t4m05rdqfwUnbv3sSjnw0/fX19sHsQQWD3ILrIysq6e/fuYPj5PIOXvKuWFFC7Kzl5Vy3xd3CwdlcyL+PzKbiuj97eXtg9iCCwexBdEHY/MAXU7ErmJe+qcb8qyODxknfVDNTsSnYHUs9PAT09PbB7EEFg94GTW+EAAAD9SURBVCC6yMrKunPnTv/UUP1esnciZka+Jyj5vWr3+fwMHs/3KtzYbDbYPYggsHsQXRB23xuLdHd3w+5BBIHdg+giKyvr9u3bPbEI7B5EFtg9iC4Iu7fFIl1dXbB7EEFg9yC6yMrKunXrVlcsYrVaYfcggsDuQXRB2L01Frlx4wbsHkQQ2D2ILoj/VdsUi+B/1YLIArsHUQfh+LEHvB5EFtg9AADEBbB7AACIC2D3AAAQF8DuAQAgLoDdAwBAXAC7BwCAuAB2DwAAcQHsHgAA4gLYPQAAxAWwewAAiAtg9wAAEBew2D0EQRAUk6LYPQRBEBTDcts9AACAmOf/A7ZxNQm6+RAVAAAAAElFTkSuQmCC" alt=""><br>
<br></div>The whole thing just hangs and the only way to quit, is to kill it via the Task Manager.<br><br></div>If on-the-fly transform is set, then as long as the program knows what projection each layer is, be it vector or raster, then it should be able to transform it. When loading the raster in I ensured it had the correct spatial attribution, so that is not the problem.<br>
<br></div><div>The same error occurs if I load the same raster (or grid) into a project in Geographic coordinates. Another GeoTIFF with the same projection (and from the same UTMzone) loads fine.<br><br></div><div>Is there an issue transforming data close to 180 degrees?<br>
</div><div><br></div>Any ideas?<br><br></div>Cheers<br></div>Lester<br></div>